СПОСОБ И УСТРОЙСТВО ДЛЯ ОТОБРАЖЕНИЯ ИНФОРМАЦИИ КАДРИРОВАНИЯ

Изобретение относится к области отображения информации кадрирования. Технический результат – обеспечение регулировки диапазона кадрирования камеры посредством отображения информации кадрирования на линзе интеллектуальных очков. Способ отображения информации кадрирования применяется в интеллектуальных очках с фотографическим устройством и в отдельном цифровом фотографическом устройстве, причем способ содержит этапы, на которых: определяют информацию кадрирования, указывающую диапазон кадрирования, полученный электронным видоискателем цифрового фотографического устройства; определяют, находится ли диапазон кадрирования цифрового фотографического устройства в пределах текущего визуального диапазона фотографического устройства интеллектуальных очков; и отображают информацию кадрирования на линзе интеллектуальных очков, когда диапазон кадрирования цифрового фотографического устройства находится в пределах текущего визуального диапазона фотографического устройства интеллектуальных очков. 3 н.

УСТРОЙСТВО УСТАНОВЛЕНИЯ СОДЕРЖАНИЯ ДОКУМЕНТОВ, ПОВРЕЖДЁННЫХ МЕХАНИЧЕСКИМ СПОСОБОМ

Предлагаемая полезная модель «Устройство установления содержания документов, поврежденных механическим способом» используется в криминалистической технике, в частности при установлении содержания документов, поврежденных механическим способом путем сканирования с двух сторон фрагментов документов, после химической обработки изогнутых фрагментов документов, с формированием базы данных отсканированных фрагментов документов и дальнейшей обработкой полученных фрагментов документов.Технический результат заключается в увеличении скорости установления содержания документов, поврежденных механическим способом в десятки раз, в удобстве и простоте установления содержания поврежденных документов механическим способом, а также в повышении точности экспертизы.Устройство установления содержания документов, поврежденных механическим способом, содержащее: приемник документов, принимающий их электронным способом, библиотека для упомянутых документов, генератор изображений документов, принтер, монитор, визуализирующий ...

Устройство для центрирования символов шрифта

VERFAHREN UND APPARAT ZUM BESTIMMEN DER GENAUEN WINKELORIENTIERUNG VON STRICHC0DESYMBOLEN IN ZWEIDIMENTIONALEN CCD-BILDERN

CHARACTER RECOGNITION METHOD AND APPARATUS

VERFAHREN ZUR ERKENNUNG UND SCHÄTZUNG DER RÄUMLICHEN LAGE VON OBJEKTEN AUS EINER ZWEIDIMENSIONALEN ABBILDUNG

Optical character reading system - has binary coding circuit, black cell detector, temporary storing buffer memory for black-white patterns

A circuit (3) is adapted to binary-code analog signals which are read by a two-dimensional sensor comprising photo-electric conversion elements arranged in two-dimensional manner. In the cells of the photo-electric conversion elements arranged two-dimensionally, a cell which has detected black is called 'a black cell'. Then, the output of the binary coding circuit is applied to a column black cell detecting circuit (13) senses the presence of black cells in each column (in a vertical direction) and to a temporary storing buffer memory (14) operating to temporarily store white/black patterns. The column black cell detecting circuit outputs a left end black cell detection signal (15) representative of the detection of black cells in the left most column. A left side character element detection signal (16) is representative of the fact that black cells are continuously present in several lines on the left side except for the left most column. A right side character element detection signal ...

Verfahren und Anordnung zur automatischen Zeichenerkennung

Verfahren und Anordnung zum Erkennen von Schriftzeichen

Imaging method, e.g. using MRI or CT, for use in treating pathologies, e.g. brain tumors, whereby the position of at least a layer in an examination area is determined using previously recorded reference images

Method for determining the position of at least a layer in an examination area, in which layer a section image of the examination area is to be recorded using an examination apparatus. Accordingly a 3D image data set of the examination area is recorded. This is then registered with a previously recorded 3D reference image set. Following this the layer of interest is determined using at least a reference layer defined in the 3D reference image set.

Optoelectronic recognition and reading of data field - with field is marked by omnidirectionally readable elements

The data character elements are read in lines by an opto-electronic sensor and several consecutive lines are simultaneously evaluated by passing the scanned line signals through delay lines, e.g. shift registers of one line length. After passing them the signals are collected for evaluation. The above line elements are stored in circulation registers operated synchronously with the lines. A set of elements forms a line used for determination of the angle between line grid and data field. The above elements represent points or a combination of negative and positive points.

Zeichenerkennungsvorrichtung

METHOD AND APPARATUS FOR ELECTRONICALLY ALIGNING ACTIVE ELEMENTS OF AN IMAGING ARRAY WITH AN OPTICAL SYSTEM

METHOD FOR READING DRAWINGS

Stereobildmessvorrichtung

VERFOLGUNG SEMANTISCHER OBJEKTE IN VEKTORBILDSEQUENZEN

Verfahren und Anordnung zum automatischen Ablesen eines zeilenfoermig angeordneten Textes

Anordnung zur Zeichenerkennung

EINRICHTUNG ZUR AUSWAHLSUCHE EINES OBJEKTS NACH DESSEN BILD

METHODS AND APPARATUS FOR OBTAINING INFORMATION FOR CHARACTERISING A PERSON OR ANIMAL

IMPROVEMENTS IN OR RELATING TO CHARACTER RECOGNITION SYSTEMS

... 1,271,705. Character recognition. SCAN-DATA CORP. 15 Oct., 1969 [8 Nov., 1968], No. 60725/69. Heading G4R. A character recognition system includes a shift register 28 for serially storing and shifting a binary quantization of a character pattern sampled within a field on a document, a plurality of sub-feature masks 36 connected to different combinations of shift-register stages lying in a "window", and a plurality of feature detectors 42 responsive to different combinations of the sub-feature masks and feeding a character decoder 50 via storage means 44. The feature detectors 42 are enabled by appropriate horizontal and vertical position signals from horizontal and vertical counters in horizontal and vertical analysers 38, 40. The character identity from decoders 50 is encoded 62 to feed a central processor 64. A horizontal gap detector 32 uses a mask responsive to the shift register 28 to detect the gap between characters, and in the horizontal analyser 38 this or detection at 42 of the ...

Analysis of portal image for radiotherapy treatment

The analysis involves a check on the apparatus setup and a check on the positioning of the patient. To check the apparatus setup a reference radiation field image is compared with a sample radiation field image to determine a difference image. At least the sample image is filtered to remove low frequency variations. A region of interest in the reference and sample images is selected and correlated with each other to determine relative displacements of the reference and sample image. The patient positioning is checked by determining relative displacements between reference image and sample image. The invention can be used for positioning of patient for radiation treatment of cancer to determine if radiation beam is correctly set up and if patient is positioned correctly, analysis of portal image is derived during first treatment session or using digitally reconstructed radiograph.

A system for combining multiple disparity maps

There is provided a method of processing image data, comprising the steps of: (a) providing a plurality of images of a scene; (b) generating a disparity map for each of at least two pairs of images from the plurality of images; (c) transforming each of the disparity maps into a common coordinate system; and (d) merging the transformed disparity maps to provide a single representation of the depth information of the source. The method does not require information about the location of the camera(s) producing the images and generates images without gaps. Views from novel viewpoints may be generated and the method may be used to evaluate existing stereo matching algorithms.

Optical character reader

An optical character reader having a scanner with a field of vision which can scan an entire line of print without being shifted. A one-character pick out circuit is provided to subdivide the binary information yielded by the scanning of an entire line into discrete units which correspond to single characters. The units may then be subjected to recognition processing to complete the reading process.

Apparatus for comparing intervals of time

... 948,821. Automatic character recognition. INTERNATIONAL BUSINESS MACHINES CORPORATION. June 16, 1960 [June 29, 1959], No. 21141/60. Heading G4R. Intervals of time between a datum pulse and a variable pulse are registered in an apparatus having a plurality of time-analogue voltage generators each associated with one cycle of a number of cycles, switching means switching the input pulses in each cycle into the corresponding generator, means for storing the time analogue voltage for a cycle and means for regenerating an interval pulse. The apparatus is described as applied to a character recognition system Fig. 2 in which a character on a moving card 41 is projected by lens 47 on to a revolving slotted disc 53 dissecting the image in vertical scans. A photo-cell 57 produces corresponding signals which after amplification, clipping and inversion are used to reset a trigger 72 previously set at the beginning of the scan by a timing pulse T1 read from a magnetic drum 65 revolving with the disc ...

An improved circuit arrangement for correcting the position of the scannng patch ina flying-spot-scanner character reader

... 992, 578. Automatic character reading. ELECTRIC & MUSICAL INDUSTRIES Ltd. Aug. 28, 1961 [Aug. 30, 1960], No. 29805/60. Heading G4R. In character reading apparatus there are means for scanning the character and means for obtaining "black" signals during two predetermined periods of the scan at the top and bottom ends and means responsive to differences in integrated black signals in the two periods for changing the position of the scan raster so as to register with the character. Figs. 3a, 3b show the relationship between sampling pulses P 1 , P 2 and the parts A 1 , A 2 of the waveform of the output of a photomultiplier, when a scanned character is symmetrically located relative to the scan, parts A 1 , A 2 corresponding to the unmarked white portions above and below the character which are scanned. In the arrangement of Fig. 4 the photomultiplier output is applied via amplifier 1 to a stage 2 which fixes the upper and lower levels of the signal. The output is fed to two AND gates 3, 4 ...

Method of object location in airborne imagery using recursive quad space image processing

A method and computer workstation to determine the location in the ground space of a selected point in a digital image of the earth obtained by an airborne camera The image is associated with data indicating the geo-location coordinates for the points in the ground space corresponding to the image The method includes the steps of performing independently and in parallel a recursive partitioning of the image space and the ground space into successively smaller quadrants until a pixel coordinate in the image assigned to the selected point is within a predetermined limit of the center of a final recursively partitioned quadrant in the image space The method further includes a step of calculating a geo-location of the point in the ground space corresponding to the selected point in the image space The methods are also applied for determining geo-location from oblique reconnaissance imagery.

Aligning multi-view scans

Character reader

... 1,020,647. Automatic character reading. RADIO CORPORATION OF AMERICA. Jan. 9, 1964 [Jan. 25, 1963], No. 1037/64. Heading G4R. In an optical character reading apparatus for reading characters each having a distinctive arrangement of vertical strokes, there are means for dividing the character into a plurality of zones in accordance with the detection of vertical strokes and means for storing signals relating to each zone of the character in a separate store. The numerals, Fig. 3, are formed of a series of vertical and horizontal strokes. Characters are scanned by a flying spot scanner or a camera tube making a series of vertical scans over the character. The scans are long enough, as shown in Fig. 2, to cover the character even when it is badly displaced. About 10 scans cover a character and about 14 sample times in each scan. The character strokes vary in thickness according to the heaviness of printing. As shown in Fig. 6, a vertical stroke may occupy one scan, two scans or more than two ...

MICR WAVEFORM ANALYZER

METHOD & APPARATUS FOR AUTOMATICALLY RECOGNIZING LICENSE PLATE CHARACTERS

Improvements in or relating to apparatus for use in the automatic recognition of characters

... 1,126,574. Character recognition. SIEMENS A.G. 29 Sept., 1965 [29 Sept., 1964], No. 41325/65. Heading G4R. Character recognition apparatus comprises means to determine elementary areas delimiting a boundary of a window containing the characters, and means to infer from this determination the positions of other elementary areas delimiting the boundary. Referring to Fig. 2, signal elements obtained by columnwise scanning of the window and its borders are " one " if originating from a character or the window border and " zero " if from a non-character point within the window, and are passed from line (n + 1) via two onecolumn-delay registers vR, R in series to a gate Gk*. A unit FY fed by the outputs of these registers enables one input of a gate GYF* during the window portion of each column which crosses the window but not any character. The gate GYP* is blocked at a second input during the first and last elements of the window portion via an OR-gate OG fed from ...

Improvements in or relating to apparatus for use in the automatic recognition of characters

... 1,126,603. Character recognition systems. SIEMENS A.G. 28 Sept., 1965 [29 Sept., 1964], No. 41104/65. Heading G4R. In character recognition apparatus, a character positioned in a window is scanned by columns and the scanning signal elements obtained are stored, the number of columns crossing the window is counted and on detection of the first of these columns which does not cross the character (the character merges with the window border at the leading edge) the stored elements are sent for further processing. Referring to Fig. 2, scanning signal elements arrive on line n and are stored in delay memory RR. A memory ZS holds a number for each horizontal row perpendicular to the scanning columns, giving the number of consecutive " zeroes " encountered in the row. As each column is scanned, the numbers are read-out in turn, incremented by one (in the case of a " zero " scanning element) or zeroized (in the case of a " one "), and then restored in memory ZS and passed to a comparator Vgl. Here ...

METHODS AND APPARATUS FOR OBTAINING INFORMATION FOR CHARACTERISING A PERSON OR ANIMAL

Improvements in and relating to circuits embodying electronic counters

... 850,583. Comparing digital data. SOLARTRON ELECTRONIC GROUP Ltd. March 17, 1958 [March 25, 1957], No. 9771/57. Class 106(1). Apparatus adapted to be fed with successive groups of pulses and to determine the maximum or minimum number of pulses in a group, comprises two electronic counters and a computor which, after each group of pulses is received, causes that counter storing the higher or lower count to be reset and thereafter activated to count the pulses in the next group. The arrangement shown forms part of a character-reading apparatus as described in Specification 850,581. During each line of a scan, one of the counters 60, 61, determined by the state of bi-stable device 64, counts the pulses received from clock generator 18 until a black element is sensed which triggers bi-stable device 63 to inhibit the counter input gates 65, 67. The voltages on lines 73, 74, which correspond to the values registered on the counters, are then compared in circuit 62 which primes gate 66 or 69 according ...

APPARATUS AND METHOD FOR PROVIDING INFORMATION RELATING TO SHAPE AND/OR POSITION OF AN OBJECT

HAND SCAN CHARACTER RECOGNITION SYSTEM

Traffic enforcement system with time tracking and intergated video capture

Improvements in and relating to character or the like scanning apparatus

... 1,033,531. Automatic character reading. PHILCO CORPORATION. Jan. 15, 1963 [Jan. 15, 1962], No. 1765/63. Heading G4R. In apparatus for reading characters arranged in rows, a timed signal is produced which indicates the relative position of the character in the scan area, there being means for generating a reference timed signal, comparing means and means for displacing the scan according to the difference in the timing of the two signals. The characters are scanned in turn each by an area swept by a vertical raster by a spot from CRT 40. The vertical strokes may be of constant velocity or the scanning spot may move in a series of steps. Reflected light is received in photo-cell 46 to generate signals which are clipped and sampled at 52 to give a train of " black " or " white " signals for each vertical scan. These binary signals are entered into a shift register matrix 56, combinations of the units of which are connected to circuits 80, 82 &c. designed to recognise particular patterns. The ...

INSERTION OF PICTURES IN VIDEO STREAM USING PHYSICAL SENSORS AND PATTERN RECOGNITION

PROCEDURE AND SYSTEM FOR NAVIGATION BY A LOCKED TUBULAR ORGAN

SYSTEM FOR THE COLLECTION OF THE BONE OF A PATIENT WITH COMPUTER-ASSISTED ORTHOPEDIC ONE SURGERY SYSTEM

PROCEDURE FOR THE PURSUIT OF OBJECTS IN A VIDEO SEQUENCE

SCHALTUNGSANORDNUNG ZUM AUFBEREITEN EINES ABGETASTETEN MUSTERS

MEASUREMENT INSTRUMENT AND PROCEDURE FOR THE SUPPLY OF MEASUREMENT DATA USING A MEASUREMENT INSTRUMENT

OPTICAL HANDHOLD READER FOR MACHINE CHARACTER RECOGNITION

DEVICE AND PROCEDURE FOR THE BIOMETRIC IDENTIFICATION OF A PERSON

INSERTION OF PICTURES IN VIDEO STREAM USING PHYSICAL SENSORS AND PATTERN RECOGNITION

INSERTION OF PICTURES IN VIDEO STREAM USING PHYSICAL SENSORS AND PATTERN RECOGNITION

INSERTION OF PICTURES IN VIDEO STREAM USING PHYSICAL SENSORS AND PATTERN RECOGNITION

Implementation of biometric authentication

The present disclosure relates generally to implementing biometric authentication. In some examples, a device provides user interfaces for a biometric enrollment process tutorial. In some examples, a device provides user interfaces for aligning a biometric feature for enrollment. In some examples, a device provides user interfaces for enrolling a biometric feature. In some examples, a device provides user interfaces for providing hints during a biometric enrollment process. In some examples, a device provides user interfaces for application-based biometric authentication. In some examples, a device provides user interfaces for autofilling biometrically secured fields. In some examples, a device provides user interfaces for unlocking a device using biometric authentication. In some examples, a device provides user interfaces for retrying biometric authentication. In some examples, a device provides user interfaces for managing transfers using biometric authentication. In some examples, a ...

TRAFFIC ENFORCEMENT SYSTEM WITH TIME TRACKING AND INTEGRATED VIDEO CAPTURE

A method, system, and apparatus are provided for capturing a video image and speed of a target vehicle. A ranging device detects a distance to a target vehicle. The focal distance or zoom of a video camera is set and adjusted based on the distance. The speed of travel of the vehicle is detected, displayed, and/or stored in association with a video image captured of the vehicle by the video camera. A range of distances within which to capture the video image and speed of the vehicle may be set by detecting distances between a pair of landmarks or using GPS and compass heading data. An inclinometer is provided to aid initiation of a power-conservation mode. A target tracking time may be determined and compared to a minimum tracking time period. A device certification period can be stored and displayed and the device deactivated upon expiration thereof.

Method for identifying objects using data processing techniques

Registration of separations

Registration of separations

Method of monitoring a moving object within a predetermined monitoring area

A method of monitoring a moving object within a predetermined monitoring area, the method comprises steps of: detecting objects by scanning the monitoring area by an optical distance meter; identifying 5 moving objects among the detected objects; setting, as a tracking target being tracked, among the identified moving objects, a moving object closest to a priority monitoring object which is preset in the monitoring area; automatically tracking, using a camera device, the moving object which is set to the tracking target; determining whether 10 or not a plurality of the moving objects are identified in the monitoring area; determining whether or not a predetermined tracking release condition, which is set for releasing the automatic tracking using the camera device has been met when it is determined that the plurality of the moving objects are identified in the monitoring area; and 15 monitoring, in fixed-point monitoring, preset priority monitoring areas including the priority monitoring ...

Traffic enforcement system with time tracking and integrated video capture

A method, system, and apparatus are provided for capturing a video image and speed of a target vehicle. A ranging device detects a distance to a target vehicle. The focal distance or zoom of a video camera is set and adjusted based on the distance. The speed of travel of the vehicle is detected, displayed, and/or stored in association with a video image captured of the vehicle by the video camera. A range of distances within which to capture the video image and speed of the vehicle may be set by detecting distances between a pair of landmarks or using GPS and compass heading data. An inclinometer is provided to aid initiation of a power- conservation mode. A target tracking time may be determined and compared to a minimum tracking time period. A device certification period can be stored and displayed and the device deactivated upon expiration thereof.

System and Method for object re-identification

Abstract SYSTEM AND METHOD FOR OBJECT RE-IDENTIFICATION A method (400) of identifying, with a camera, an object in an image (120) of a scene, the 5 method comprising the steps of determining (410) a distinctiveness (411) of each of a plurality of attributes of an object of interest (100), independent of a camera viewpoint; determining (820) a detectability (821) of each of the plurality of attributes based on a relative orientation (541) of a candidate object (130) in the image (120) of the scene; determining (460) a camera setting (461) for viewing the candidate object (130) based on the determined distinctiveness 10 (411) of at least one attribute, so as to increase the detectability of the at least one attribute; and capturing (420) an image of the candidate object with the determined camera setting (461) to determine (440) a confidence (441) that the candidate object is the object of interest. P1 11'71'7 / 091259 0 I Fig. 1A Computer system Fig. 1B P113737 /9208756_1 ...

CHARACTER READER

Propensity model based optimization

Apparatuses, systems, methods, and computer program products are presented for a propensity module based optimization. A mobile computing device comprises one or more of a camera, a network interface, and an optimization module. The optimization module is configured to process one or more images from the camera to determine a likelihood that the one or more images will pass submission to a pass/fail interface over the network interface. The optimization module is configured to a corrective action for the one or more images in response to the likelihood failing to satisfy the threshold. 17410500 1 (GHMatters) P111494.AU.1 L108-t 108 _10_• _1 10 Data Network Optrnizaton 106 104b Optimization Module 104a Optimization 102 102[] 10.* OpiiainOptimization Optimization Module 104a Mtie za Module 104a ...

SINGLE READ STATION ACQUISITION FOR CHARACTER RECOGNITION

TWO-DIMENSIONAL ARRAY CODE

The present invention relates to a two-dimensional array code. The two-dimensional array code comprises a plurality of code characters arranged into a two-dimensional array, wherein each of the code characters corresponds to a bit group representing information; and a locating mechanism, for defining size and/or direction of the two-dimensional array arranged by the code characters, wherein each of the code characters belongs to one of a plurality of character groups, characters in each of the character groups have at least a identical or similar feature, and characters belong to a same character group are mapped to a same bit group. According to the present invention, at least one of the plurality of character groups comprises two or more code characters. The present invention greatly reduces the cost for issuing a two-dimensional code, and significantly increases the user convenience. This two-dimensional array code has high compatibility for user mobile terminals. In addition, the entire ...

SINGLE SCAN CHARACTER REGISTRATION

AUTOMATED MICROSCOPY SYSTEM AND METHOD FOR LOCATING AND RE-LOCATING OBJECTS IN AN IMAGE

A microscopy method for automatically locating objects-of-interest in a two or three dimensional image having one or more objects against a background, where each of the objects-of-interest is characterized by a predetermined set of features. The method comprises the steps of identifying objects by scanning the image and detecting one or more of the objects during said scanning, identifying ones of the identified objects having the predetermined set of features as objects-of-interest, and generating a marker signal for an identified object-of interest. The marker signal has a feature portion representative of the predetermined set of features of the identified object-of-interest, and a pattern portion representative of the relative distance and relative orientation of a plurality of detected objects neighboring the identified object-of-interest.

MATRIX CHARACTER READING SYSTEM

MATRIX CHARACTER READING SYSTEM A method and apparatus for selecting the start of an unknown character sensed by a character recognition system. A multi-channel read head develops a plurality of analog waveforms which form the image of an unknown character sensed by the read head. After the analog waveforms have been digitized and rectified, static and dynamic threshold values are applied producing a multicolumn binary bit map of the unknown character. The start of the character is detected when two adjacent rows of the bit map are found to have five consecutive binary bits representing a character. The end of the character is detected when the rows of the binary bits representing background data have a width which is inversely proportional to the width of the character detected. This information is used by a character recognition apparatus in locating the start of the character and the data generated during a character recognition operation.

METHOD AND APPARATUS FOR ELECTRONICALLY ALIGNING ACTIVE ELEMENTS OF AN IMAGING ARRAY WITH AN OPTICAL SYSTEM

METHOD AND APPARATUS FOR ELECTRONICALLY ALIGNING ACTIVE ELEMENTS OF AN IMAGING ARRAY WITH AN OPTICAL SYSTEM An imaging apparatus comprising an array having a central axis and a predetermined number of light responsive elements positioned in the array, with each light responsive element producing an output in response to light impinging thereon and an optical system including a lens for directing light from an image of a predetermined size onto a first number of said light responsive elements which said first number is less than said predetermined number. The apparatus also includes a selection unit for selecting a said first number of said light responsive elements which are positioned with regard to said central axis, means for receiving the outputs of said selected first number of light responsive members and also for producing a stream of data therefrom; and a switch unit for adjustably selecting the particular said first number of light responsive elements upon which light from said ...

OCR MATRIX EXTRACTOR

A matrix extractor is described which is particularly useful for extracting data from a memory which contains representations of optically scanned characters. The method and apparatus of the present invention permits the isolation of packets of data in the memory and the determination of the location of these packets. Data representing the packets is then extracted from the memory for character recognition. The isolation of packets in memory greatly reduces the amount of data which must be processed by the recognition processor and provides much more reliable recognition.

METHOD AND APPARATUS FOR MACHINE-VISION

METHOD AND APPARATUS FOR IMAGE MATCHING

The invention provides a method and apparatus for performing correspondence estimation between pixels of a stereo image pair to obtain matching information for corresponding pixels in each image. To perform a match for a particular pixel in a first image firstly an adaptive curve is constructed about the pixel, being a sequence of connected pixels with similar intensity values to the pixel being matched. The adaptive curve thus constructed is then used as a matching element within the second image to find a matching pixel representative of the same 3D scene point in the second image to the particular pixel. By performing matching in this manner for every pixel in an image, accurate disparity maps can be obtained which are then used in a known image synthesis algorithm to produce novel images of a scene of improved quality.

MATRIX CHARACTER PREPROCESSING SYSTEM

MAGNETIC INK CHARACTER RECOGNITION WAVEFORM ANALYZER

TRAFFIC ENFORCEMENT SYSTEM WITH TIME TRACKING AND INTEGRATED VIDEO CAPTURE

A method, system, and apparatus are provided for capturing a video image and speed of a target vehicle. A ranging device detects a distance to a target vehicle. The focal distance or zoom of a video camera is set and adjusted based on the distance. The speed of travel of the vehicle is detected, displayed, and/or stored in association with a video image captured of the vehicle by the video camera. A range of distances within which to capture the video image and speed of the vehicle may be set by detecting distances between a pair of landmarks or using GPS and compass heading data. An inclinometer is provided to aid initiation of a power- conservation mode. A target tracking time may be determined and compared to a minimum tracking time period. A device certification period can be stored and displayed and the device deactivated upon expiration thereof.

METHOD FOR CONSTRUCTING A COMPOSITE IMAGE INCORPORATING A HIDDEN AUTHENTICATION IMAGE

A method is provided for constructing a composite image having an authentication image formed therein. The authentication image is viewable using a decoder lens having one or more decoder lens frequencies. The method comprises generating a first plurality of component images in which corresponding tonal areas are tonally balanced around at least one tonal value. At least one of the component images is configured to include a representation of the authentication image. The method further comprises determining a pattern of component image elements for each of the component images. The pattern having at least one element frequency that is equal to or a multiple of a decoder lens frequency. At least a portion of the content of each component image element is extracted and used to construct a composite image element.

PATTERN CLASSIFICATION SYSTEM AND METHOD FOR COLLECTIVE LEARNING

A method for configuring a pattern recognition system begins by receiving object recognition data from at least one first local image processing system. The object recognition data is stored in at least one global database. Configuration data is determined for a second local image processing system based at least in part upon the received object recognition data from the at least one first image processing system, and then transmitted to the second local image processing system.

METHOD AND APPARATUS FOR DETERMINING POSITIONAL GUIDELINES OF HANDWRITTEN DATA

The present invention provides a method and apparatus for determining a positional guideline, such as a baseline or ascender line, of handwritten data. This positional guideline allows for accurate positioning of the data on a computer display. It is calculated by counting the number of pixels per horizontal row in the block of data. These counts of pixels per row are then filtered using a wide moving average. The filtered rows of pixels are then analyzed per row to determine the positional guideline for the given block of handwritten data.

METHOD AND SYSTEM FOR IMAGE COMBINATION USING A PARALLAX-BASED TECHNIQUE

A system for generating three-dimensional (3D) mosaics from a plurality of input images representing an imaged scene. The plurality input images contain at least two images of a single scene, where at least two of the images have overlapping regions. The system combines the images using a parallax-based approach that generates a 3D mosaic comprising an image mosaic representing a panoramic view of the scene and a shape mosaic representing the threedimensional geometry of the scene. Specifically, in one embodiment, the system registers the input images along a parametric surface within the imaged scene and derives translation vectors useful in aligning the images into a twodimensional image mosaic. Once registered, the system generates a shape mosaic representing objects within the scene.

Apparatur zum Lesen von Symbolen mittels Abtastung

Verfahren zum maschinellen Ablesen eines zeilenförmig angeordneten Textes

Appareil de lecture de caractères

Verfahren zur maschinellen Erkennung von Zeichen, insbesondere Schriftzeichen (Ziffern, Buchstaben und dergleichen)

Verfahren zur Ermittlung der Lage von Schriftzeichen

Verfahren und Anordnung zur automatischen Zeichenerkennung

Verfahren zur automatischen Erkennung von Zeichen, insbesondere von Schriftzeichen

Einrichtung zum Ablesen von auf einem Schriftzeichenträger befindlichen Schriftzeichen unter Erzeugung von denselben entsprechenden, elektrischen Impulsen

Installation de reconnaissance de symboles porteurs d'une information

Mehrdimensionales Schieberegister

Verfahren zur automatischen Erkennung von Zeichen

Schaltungsanordnung zur Auswertung von Impulsgruppen

Apparatur zum Lesen von Symbolen

Verfahren und Schaltungsanordnung zur Abtastung eines Aufzeichnungsträgers

Verfahren zur maschinellen Erkennung von Schriftzeichen

Anordnung zum Messen der Grösse von Zeichen

Verfahren und Schaltungsanordnung zur Feststellung der hinteren Begrenzung von automatisch zu erkennenden Schriftzeichen

Verfahren und Schaltungsanordnung zur Ermittlung der Lage von Ausschnitten eines Aufzeichnungsträgers

Vorrichtung zur selbsttätigen Einstellung des Abtasters eines Zeichenerkennungsgerätes symmetrisch zur Zeilenmitte

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM

The present invention provides an apparatus and a method to perform an interpolation process of a color mosaic image generated through an imaging process by a single-plate color imaging element. The color mosaic image generated through the imaging process by the single-plate color imaging element is input, estimation is performed for a pixel value low frequency component and a noise high frequency component corresponding to a pixel interpolation position, and calculation for a pixel value at the pixel interpolation position is performed by applying an addition result thereof. An edge-adaptive interpolation processing unit calculates a pixel value at the pixel interpolation position by using a pixel value of a reference pixel located in an edge direction. A blend processing unit calculates a final interpolation pixel value by blending the edge-adaptive interpolation pixel value and the addition result of the pixel value low frequency component and the noise high frequency component corresponding to the pixel interpolation position in accordance with flatness at the pixel interpolation position. 1. An image processing apparatus , comprising;a low frequency component calculation processing unit which receives input of a color mosaic image generated through an imaging process by a single-plate color imaging element and which calculates a pixel value low frequency component corresponding to a pixel interpolation, position;a noise estimating unit which receives input of the color mosaic image and which estimates at noise high frequency component corresponding to the pixel interpolation position; anda blend processing unit which calculates a pixel value at the pixel interpolation position by applying an addition result of the pixel value low frequency component and the noise high frequency component corresponding to the pixel interpolation position.2. The image processing apparatus according to claim 1 , further comprising:a flat part, detecting unit which calculates ...

IMAGE PROCESSING APPARATUS

[Problem] 1. An image processing apparatus for aiding that a user acquires an optimal low-resolution image set for a super-resolution processing in generating a high-resolution image by using a plurality of low-resolution images and by means of said super-resolution processing , comprising:an image input unit for inputting said plurality of low-resolution images;a basis image selecting unit for selecting a basis image from said plurality of low-resolution images that are inputted;a reference image selecting unit for selecting a plurality of reference images to be used in said super-resolution processing from said plurality of low-resolution images that are inputted;a displacement amount computing unit for respectively computing a displacement amount for performing registration on a high-resolution image space between said basis image and said each reference image;a deformed image generating unit for generating a plurality of deformed images based on said displacement amounts and said plurality of reference image;an assistance image generating unit for generating assistance images for said user to visually recognize based on said displacement amounts, said basis image and information about said reference images and said deformed images; andan assistance image display unit for displaying said assistance images.2. (canceled)3. (canceled)4. (canceled)5. An image processing apparatus according to claim 1 ,wherein said image processing apparatus further comprises a high-resolution grid image generating unit for generating high-resolution grid images based on said displacement amounts, said basis image and information about said reference images and said deformed images, andwherein said assistance image generating unit comprises a missing pixel enhancement processing unit for performing a missing pixel enhancement processing with respect to said high-resolution grid image.6. An image processing apparatus according to claim 1 , wherein said assistance image generating unit ...

SYSTEMS AND METHODS FOR EYE TRACKING USING RETROREFLECTOR-ENCODED INFORMATION

Embodiments of the present invention are directed to eye tracking systems and methods that can be used in uncontrolled environments and under a variety of lighting conditions. In one aspect, an eye tracking system () includes a light source () configured to emit infrared (“IR”) light, and an optical sensor () disposed adjacent to the light source and configured to detect IR light. The system also includes one or more retroreflectors () disposed on headgear. The one or more retroreflectors are configured to reflect the IR light back toward the light source. The reflected IR light is captured as IR images by the optical sensor. The IR images provide information regarding the location and head orientation of a person wearing the headgear. 1200. An eye tracking system () comprising:{'b': '204', 'a light source () configured to emit infrared (“IR”) light;'}{'b': '206', 'an optical sensor () disposed adjacent to the light source and configured to detect IR light; and'}{'b': '210', 'one or more retroreflectors () disposed on headgear, wherein the one or more retroreflectors are configured to reflect the IR light back toward the light source, and wherein the reflected IR light is captured as IR images by the optical sensor, the IR images provide information regarding the location and head orientation of a person wearing the headgear.'}2402502610. The system of claim 1 , wherein the one or more retroreflectors disposed on the headgear further comprises the retroreflectors arranged to produce an identifiable reflection pattern in the IR images ( claim 1 , claim 1 ,).3706905908. The system of claim 1 , wherein each of the one or more retroreflectors disposed on the headgear further comprises the retroreflectors configured to produce identifiable shapes in the IR images ( claim 1 , claim 1 ,).4. The system of claim 1 , wherein each of the one or more retroreflectors disposed on the headgear further comprises the retroreflectors configured to produce identifiable shapes in the ...

MOVING OBJECT DETECTION DEVICE

A moving object detection device includes a window setting unit configured to set a window having a predetermined volume in a video, an orientation of spatial intensity gradient calculation unit configured to calculate, for each pixel included in the window, an orientation of spatial intensity gradient, a spatial histogram calculation unit configured to calculate a spatial histogram that is a histogram of the orientation of spatial intensity gradient within the window, an orientation of temporal intensity gradient calculation unit configured to calculate, for each pixel included in the window, an orientation of temporal intensity gradient, a temporal histogram calculation unit configured to calculate a temporal histogram that is a histogram of an orientation of temporal intensity gradient within the window, and a determination unit configured to determine whether or not the moving object is included within the window based on the spatial histogram and the temporal histogram. 113-. (canceled)14. A moving object detection device which detects a moving object from a video , the moving object detection device comprising:a window setting unit configured to set a window having a predetermined volume in the video that is a three-dimensional image in which two-dimensional images are arranged in a temporal axis direction;an orientation of spatial intensity gradient calculation unit configured to calculate, for each pixel included in the window, an orientation of spatial intensity gradient that is an orientation of spatial gradient of intensity;a spatial histogram calculation unit configured to calculate a spatial histogram that is a histogram of the orientation of spatial intensity gradient within the window;an orientation of temporal intensity gradient calculation unit configured to calculate, for each pixel included in the window, an orientation of temporal intensity gradient that is an orientation of temporal gradient of intensity;a temporal histogram calculation unit ...

Image processing

An image processing method includes: capturing image data from a sequence of images of a scene from different but repeatable viewpoints; associating captured images with a respective viewpoint identification; tracking a region of interest in the sequence of images; performing an eigenspace projection for the respective images to calculate respective points in the eigenspace projection; and comparing the calculated points to points previously obtained for a reference image for substantially the same viewpoints. A change between a calculated point and a corresponding previously obtained point indicates a change in the image content of the region of interest between the corresponding captured image and the corresponding reference image for a substantially same viewpoint.

SYSTEM AND METHOD FOR TRACKING MOVING OBJECTS

A method for tracking an object that is embedded within images of a scene, including: in a sensor unit, generating, storing and transmitting over a communication link a succession of images of a scene. In a remote control unit, receiving the images, receiving a command for selecting an object of interest in a given image and determining object data associated with the object and transmitting the object data to the sensor unit. In the sensor unit, identifying the given image and the object of interest using the object data, and tracking the object in other images. If the object cannot be located in the latest image of the stored succession of images, using information of images in which the object was located to predict estimated real-time location thereof and generating direction commands to the movable sensor for generating realtime images of the scene and locking on the object. 1. A method for indicating an area in an image as a candidate of a sought object of interest in a scene , comprising:receiving data indicative of estimated future coarse location of an object in the scene;generating a succession of images of an area in the scene, the images includes the estimated coarse location,comparing between at least two images of said succession, and in the case of difference in at least a respective portion of the at least two images that meets a given threshold, the difference, in a later image, is identified as a candidate object of said object.2. The method according to claim 1 , wherein said threshold being one member of a group that includes: (i) changing of values of at least n pixels in the image claim 1 , (ii) changing of values of at least n pixels in the image by at least m value delta.3. The method according to claim 1 , wherein said threshold being cluster of pixels whose gray level values were changed.4. The method according to claim 1 , further comprising generating at least one additional image and locating the candidate object in said at last one ...

Method for Detecting a Target in Stereoscopic Images by Learning and Statistical Classification on the Basis of a Probability Law

A method for the detection of a target present in at least two images of the same scene acquired simultaneously by different cameras comprises, under development conditions, a prior target-learning step, said learning step including a step of modeling of the data X corresponding to an area of interest in the images by a distribution law P such that P(X)=P(X,X,X)=P(X)P(X)P(X) where Xare the luminance data in the area of interest, Xare the depth data in the area of interest, and Xare the movement data in the area of interest. The method also comprises, under operating conditions, a simultaneous step of classification of objects present in the images, the target being regarded as detected when an object is classified as being one of the targets learnt during the learning step. Application: monitoring, assistance and security on the basis of stereoscopic images. 26.-. (canceled)7. The method as claimed in claim 1 , in which the modeling step comprises a step of calculation claim 1 , in each pixel of the area of interest in one of the two images claim 1 , of the values mx and my of the movement of the pixel position according to two orthogonal directions in relation to a preceding image claim 1 , the movement data Xof the area of interest being modeled by a plurality of α-periodic and/or β-periodic Von Mises-Fischer laws claim 1 , the periods of which differ from one another claim 1 , each law describing a distribution of the normal unit vectors on the planes of equation z=mx.x+my.y corresponding to all of the pixels of the area of interest claim 1 , P(X) being obtained by the product of the different Von Mises-Fischer laws modeling the movement data X.8. The method as claimed in claim 1 , in which the modeling step comprises a step of calculation claim 1 , in each pixel of the area of interest in the disparity image corresponding to the two images claim 1 , of the values px and py of the derivatives of the pixel depth according to two orthogonal directions claim 1 , the ...

IMAGE INFORMATION ACQUIRING APPARATUS, IMAGE INFORMATION ACQUIRING METHOD AND IMAGE INFORMATION ACQUIRING PROGRAM

An image information acquiring apparatus of the present invention includes an acoustic wave detector having, disposed on a reception surface thereof, a plurality of elements that detect acoustic waves generated by an object corresponding to a reconstruction area; an acoustic signal generator that generates acoustic signals that are used in image reconstruction, from the detected acoustic waves; an element selector that selects elements that are used in image reconstruction; and a reconstructor that performs image reconstruction of a point of interest using acoustic signals based on the acoustic waves detected by the selected elements, the image information acquiring apparatus being configured such that, for each selected element, there exists another selected element located at a symmetrical position with respect to a point at which the reception surface is intersected by a perpendicular line drawn from the point of interest to the reception surface. 1. An image information acquiring apparatus , comprising:an acoustic wave detector having, disposed on a reception surface thereof, a plurality of elements that detect acoustic waves generated by an object corresponding to a reconstruction area at which image reconstruction is performed;an acoustic signal generator that generates acoustic signals that is used in image reconstruction, from the acoustic waves detected by said acoustic wave detector;an element selector that selects elements that are used in image reconstruction from among said plurality of elements; anda reconstructor that performs image reconstruction of a point of interest within the reconstruction area using acoustic signals based on the acoustic waves detected by said elements selected by said element selector,wherein said element selector selects elements in such a manner that, for each selected element, there exists another selected element located at a symmetrical position with respect to a point at which said reception surface is intersected by a ...

SYSTEMS AND METHODS FOR ANALYSIS OF VIDEO CONTENT, EVENT NOTIFICATION, AND VIDEO CONTENT PROVISION

A method for remote event notification over a data network is disclosed. The method includes receiving video data from any source, analyzing the video data with reference to a profile to select a segment of interest associated with an event of significance, encoding the segment of interest, and sending to a user a representation of the segment of interest for display at a user display device. A further method for sharing video data based on content according to a user-defined profile over a data network is disclosed. The method includes receiving the video data, analyzing the video data for relevant content according to the profile, consulting a profile to determine a treatment of the relevant content, and sending data representative of the relevant content according to the treatment. 1. A non-transitory processor-readable medium storing code representing instructions to be executed by a processor , the code comprising code to cause the processor toreceive video data having an event of significance;analyze the video data with reference to a profile to select a segment of interest associated with the event of significance;identify a parameter associated with the event of significance;encode the segment of interest to produce an encoded segment of interest; andsend to a user over a network a representation of the encoded segment of interest for display at a user display device based on a notice priority associated with the parameter of the event of significance.2. The non-transitory processor-readable medium of claim 1 , wherein the code to cause the processor to send includes code to cause the processor to send data associated with the encoded segment of interest to the user display device via the network to trigger the user display device to download the encoded segment of interest from a storage server.3. The non-transitory processor-readable medium of claim 1 , wherein the representation of the encoded segment of interest includes a compressed portion of the ...

MICROSCOPY METHOD FOR IDENTIFYING BIOLOGICAL TARGET OBJECTS

The invention relates to a microscopy method for identifying target objects () having a predetermined optical property in material () to be analyzed. 132632. A microscopy method for identifying target objects () in material () to be analyzed , the target objects () having a predetermined optical property , wherein{'b': 36', '14', '4', '6, 'in a first step, an overview field of view () of a microscope optical system () is directed to an overview region of a sample carrier () containing the material () to be analyzed;'}{'b': 6', '16', '4', '48', '8, 'the material () to be analyzed is illuminated by an illumination unit (), which irradiates the sample carrier () from outside a field of view tube (), and is recorded by a camera ();'}{'b': 6', '32', '6, 'the material () to be analyzed is optically analyzed for the optical property such that even a single target object () having the predetermined optical property is identified as such in the material () to be analyzed;'}{'b': 52', '14', '32', '32, 'in a subsequent second step, a target field of view () of the microscope optical system () is aligned with a target region around the target object () using the known position of the target object (); and'}{'b': '32', 'the identified target object () is analyzed in a manner differentiated for various additional optical properties.'}25236. The microscopy method according to claim 1 , characterized in that the target field of view () has a magnification by at least a factor of 3 over the overview field of view ().33232. The microscopy method according to claim 1 , characterized in that the identification of the target object () in the first step is carried out with a first optical method and the differentiation of the target object () in the second step is carried out with a second optical method which is different from the first.461832. The microscopy method according to claim 1 , characterized in that claim 1 , in the second step claim 1 , the material () to be analyzed is ...

DETECTION DEVICE AND METHOD FOR TRANSITION AREA IN SPACE

Provided is a transition area detection device capable of detecting, with high precision, a transition area in a space without using a positioning sensor. The transition area detection device has a corresponding point search-use feature point selection unit for selecting feature points used for determining a reference image from among feature points of an input image (captured image), a geometric transformation parameter calculation-use feature point selection unit for selecting feature points used for calculating geometric transformation parameters from among feature points of the input image and feature points of the reference image, and a degree of similarity calculation-use feature point selection unit; for selecting feature points used for obtaining a degree of similarity between the captured image and the reference image from among the feature points of the input image and the feature points of the reference image. 17-. (canceled)8. A varied-region detecting apparatus comprising:a first characteristic-point selecting section that selects characteristic points to be used for calculation of a geometric transformation parameter from characteristic points in a captured image and characteristic points in a reference image;a geometric-transformation-parameter calculating section that calculates the geometric transformation parameter based on the characteristic points selected by the first characteristic-point selecting section;a second characteristic-point selecting section that selects characteristic points to be used for determination of a similarity between the captured image and the reference image from the characteristic points in the captured image and the characteristic points in the reference image; anda similarity calculating section that geometrically transforms the characteristic points selected by the second characteristic-point selecting section based on the geometric transformation parameter calculated by the geometric-transformation-parameter ...

POSITION AND ORIENTATION MEASUREMENT APPARATUS,POSITION AND ORIENTATION MEASUREMENT METHOD, AND STORAGE MEDIUM

An apparatus comprises: extraction means for extracting an occluded region in which illumination irradiated onto the target object is occluded in an obtained two-dimensional image; projection means for projecting a line segment that constitutes a three-dimensional model onto the two-dimensional image based on approximate values of position/orientation of the target object; association means for associating a point that constitutes the projected line segment with a point that constitutes an edge in the two-dimensional image; determination means for determining whether the associated point that constitutes an edge in the two-dimensional image is present within the occluded region; and measurement means for measuring the position/orientation of the target object based on a distance on the two-dimensional image between the point that constitutes the projected line segment and the point that constitutes the edge, the points being associated as the pair, and a determination result. 1. A position and orientation measurement apparatus comprising:storage means for storing a three-dimensional model of a target object;two-dimensional image obtaining means for obtaining a two-dimensional image of the target object;extraction means for extracting an occluded region in which illumination irradiated onto the target object is occluded in the two-dimensional image;projection means for projecting a line segment that constitutes the three-dimensional model onto the two-dimensional image based on approximate values of position and orientation of the target object;association means for associating a point that constitutes the projected line segment with a point that constitutes an edge in the two-dimensional image as a pair;determination means for determining whether the associated point that constitutes an edge in the two-dimensional image is present within the occluded region; andposition and orientation measurement means for measuring the position and orientation of the target object ...

APPARATUS AND METHOD FOR POLARIZATION DIVERSITY IMAGING AND ALIGNMENT

A method of obtaining two orthogonally polarized super-resolution images is provided. A first diffraction-limited image is obtained using horizontally polarized light; a second diffraction-limited image is obtained using vertically polarized light; and, the first and second images are processed so as to yield a convoluted image having super diffraction-limited performance in both dimensions. Enhanced alignment of CAD image to acquired image is facilitated using the horizontally and vertically polarized images. 1. A method for aligning a CAD image and an acquired image of a microchip , wherein the CAD image has horizontally aligned elements and vertically aligned elements , the method comprising:illuminating an area of interest in the microchip with a light beam that is linearly polarized in a first direction;collecting reflected light to generate a first acquired image of the microchip;illuminating the area of interest in the microchip with a light beam that is linearly polarized in a second direction which is perpendicular to the first direction;collecting reflected light to generate a second acquired image of the microchip;aligning the first acquired image to the horizontally aligned elements in the CAD image; and,aligning the second acquired image to the vertically aligned elements in the CAD image.2. The method of claim 1 , wherein the first acquired image and the second acquired image are generated successively.3. The method of claim 1 , wherein the first acquired image and the second acquired image are generated simultaneously.4. The method of claim 1 , wherein the light beam comprises a laser light beam.5. The method of claim 4 , wherein the step of illuminating the area of interest comprises scanning the laser light beam.6. The method of claim 1 , wherein the steps of illuminating an area of interest in the microchip with a light beam that is linearly polarized in a first direction and illuminating the area of interest in the microchip with a light beam that ...

METHOD FOR COUNTING OBJECTS AND APPARATUS USING A PLURALITY OF SENSORS

According to one embodiment of the present invention, a method for counting objects involves using an image sensor and a depth sensor, and comprises the steps of: acquiring an image from the image sensor and acquiring a depth map from the depth sensor, the depth map indicating depth information on the subject in the image; acquiring boundary information on objects in the image; applying the boundary information to the depth map to generate a corrected depth map; identifying the depth pattern of the objects from the corrected depth map; and counting the identified objects. 1. A method for counting objects using an image sensor and a depth sensor , the method comprising:acquiring an image by the image sensor, and acquiring a depth map from the depth sensor, the depth map indicating depth information on the subject in the image;acquiring edge information of objects of interest in the image;generating a corrected depth map by applying the edge information to the depth map;identifying depth patterns of the objects of interest from the corrected depth map; andcounting the identified objects of interest.2. The method of claim 1 , wherein in the step of identifying depth patterns of the objects of interest claim 1 , depth patterns of a reference object stored in a depth pattern database claim 1 , is compared with the depth patterns of the corrected depth map.3. The method of claim 1 , further comprising tracking movement of the identified depth patterns of the objects of interest.4. A camera apparatus claim 1 , comprising:an image sensor configured to generate an image captured with respect to objects of interest;a depth sensor configured to generate a depth map indicating depth information on the subject in the image; anda controller configured to acquire edge information of the objects of interest in the image, configured to generate a corrected depth map by applying the edge information to the depth map, configured to identify depth patterns of the objects of interest ...

Metadata Based Alignment of Distorted Images

A method for aligning and unwarping distorted images in which lens profiles for a variety of lens and camera combinations are precomputed. Metadata stored with images is used to automatically determine if a set of component images include an excessive amount of distortion, and if so the metadata is used to determine an appropriate lens profile and initial unwarping function. The initial unwarping function is applied to the coordinates of feature points of the component images to generate substantially rectilinear feature points, which are used to estimate focal lengths, centers, and relative rotations for pairs of the images. A global nonlinear optimization is applied to the initial unwarping function(s) and the relative rotations to generate optimized unwarping functions and rotations for the component images. The optimized unwarping functions and rotations may be used to render a panoramic image. 148.-. (canceled)49. A computer-implemented method , comprising:automatically selecting a particular profile for a set of distorted component images from among a plurality of profiles according to metadata corresponding to the set of distorted component images, wherein each of the plurality of profiles stores information for a particular camera/lens combination;determining a pre-calculated unwarping function for the set of distorted component images from the information stored in the particular profile; andapplying the pre-calculated unwarping function to generate a composite image from the set of distorted component images by joining the distorted component images one to another.50. The computer-implemented method as recited in claim 49 , further comprising generating a set of feature points for the set of distorted component images used to join the distorted component images one to another.51. The computer-implemented method as recited in claim 50 , wherein generating the set of feature points comprises:recognizing feature points within individual images of the set of ...

Method of tracking targets in video data

A method of tracking targets in video data. At each of a sequence of time steps, a set of weighted probability distribution components is derived. At each time step the following steps are performed. First, a new set of components from the components of the previous time step are derived in accordance with a predefined motion model for the targets. The video at the current time step is then analysed to obtain a set of measurements, and the new set of components is updated using the measurements in accordance with a predefined measurement model. Finally, the set of components derived at each time step are analysed to derive a set of tracks for the targets.

KEY-FRAME SELECTION FOR PARALLEL TRACKING AND MAPPING

A method of selecting a first image from a plurality of images for constructing a coordinate system of an augmented reality system. A first image feature in the first image corresponding to the feature of the marker is determined A second image feature in a second image is determined based on a second pose of a camera, said second image feature having a visual match to the first image feature. A reconstructed position of the feature of the marker in a three-dimensional (3D) space is determined based on positions of the first and second image features, the first and the second camera pose. A reconstruction error is determined based on the reconstructed position of the feature of the marker and a pre-determined position of the marker. 1. A method of selecting a key image from a plurality of images to construct a coordinate system of an augmented reality system , the method comprising:determining a first image feature in a first image corresponding to a marker, wherein the first image feature is determined based on a first camera pose of a camera used to capture the first image;determining a second image feature in a second image based on a second camera pose of a camera used to capture the second image, wherein the second image feature includes a visual match to the first image feature;determining a reconstructed position of the marker in a three dimensional (3D) space based on positions of the first image feature in the first image and the second image feature in the second image, and the first and second camera pose;determining a reconstruction error based on the determined reconstructed position of the marker and a pre-determined position of the marker in the 3D space; andselecting at least one of the first and second images as the key image for constructing the coordinate system of the augmented reality system in an event that the determined reconstruction error satisfies a pre-determined criterion for constructing the coordinate system.2. A method according to ...

POSITIONING INFORMATION FORMING DEVICE, DETECTION DEVICE, AND POSITIONING INFORMATION FORMING METHOD

Provided is a positioning information forming device which improves object detection accuracy. This device comprises a synthesis unit () which synthesizes camera distance map information and radar distance map information and generates “synthesized map information”. This synthesized map information is used for object detection processing by a detection device (). In this way it is possible to improve object detection accuracy by being able to detect objects based on information in which the camera distance map information and radar distance map information have been synthesized. In other words, by synthesizing the camera distance map information and radar distance map information, it is possible to remove unnecessary noise due to reflection from the ground and walls, etc. and therefore set object detection thresholds to low values. It is therefore possible to detect even objects the detection of which was judged to be impossible in the past. 110-. (canceled)11. A positioning information forming apparatus that forms positioning information used for detection of an object on the basis of an image based on information detected by a radar , and on an image taken by a stereo camera , comprising;a first coordinate transforming section that transforms a coordinate system of radar distance map information associating a coordinate group of the image based on the information with distance information, into a reference coordinate system defined by a parallax-axis and one of the coordinate axes of an image plane coordinate system at a virtual position of installation of the positioning information forming apparatus;a first smoothing section that smooths the transformed radar distance map information by applying a first smoothing filter only in the one of the coordinate axes direction;a second coordinate transforming section that transforms a coordinate system of camera distance map information associating a coordinate group of the taken image with distance information, into a ...

Image processing method

An image-processing method comprising convolving a selected feature of interest (FOI) within the image with a mask of a first size, repeating the convolution with a mask of a second size, and calculating the ratio of the convolution responses, as an indication of the size of the FOI. Preferably the convolution masks are Laplacian of Gaussian. The method can be useful for prioritising potential targets in a field of view for presentation to an operator.

DIAGNOSIS ASSISTANCE SYSTEM AND COMPUTER READABLE STORAGE MEDIUM

Provided is a diagnosis assistance system. The system includes, an imaging unit, an analysis unit, an operation unit, and a display unit. The analysis unit extracts a subject region from each of the plurality of image frames generated by the imaging unit, divides the extracted subject region into a plurality of regions, and analyzes the divided regions correlated among the plurality of image frames, thereby calculating a predetermined feature quantity indicating motions of the divided regions. The operation unit allows a user to select a region serving as a display target of an analysis result by the analysis unit. The display unit displays the calculated feature quantity regarding the selected region. 1. A diagnosis assistance system comprising:an imaging unit which performs dynamic imaging for a subject and which generates a plurality of successive image frames;an analysis unit which extracts a subject region from each of the plurality of generated image frames, which divides the extracted subject region into a plurality of regions, and which analyzes the divided regions correlated among the plurality of image frames, thereby calculating a predetermined feature quantity indicating motions of the divided regions;an operation unit which allows a user to select a region serving as a display target of an analysis result by the analysis unit from among the divided regions; anda display unit which displays the feature quantity regarding the region selected by the operation unit, the feature quantity being calculated by the analysis unit.2. The diagnosis assistance system of claim 1 ,wherein the analysis unit further calculates a predetermined feature quantity indicating a motion of a whole of the subject region, andthe display unit simultaneously displays the feature quantity indicating a motion of the region selected by the operation unit, the motion being calculated by the analysis unit, and the feature quantity indicating the motion of the whole of the subject region ...

IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD, AND PROGRAM

An image processing device for recognizing an object corresponding to a registered image registered beforehand from an imaged image, comprising: an obtaining unit configured to obtain the imaged image; a recognizing unit configured to recognize an object corresponding to the registered image from the imaged image; and a detecting unit configured to detect, based on a registered image corresponding to an object recognized from the imaged image thereof, an area where another object is overlapped with the object corresponding to the registered image thereof. 111-. (canceled)12. An image processing device , comprising:an imaging unit configured to obtain an input image by imaging a subject;a recognition unit configured to recognize a first object, corresponding to a registered image, from the input image, wherein the registered image is registered beforehand in the image processing device;an image comparing unit configured to detect, based on the registered image, a first area of the input image where a second object overlaps with the first object; anda display control unit configured to display an icon in a second area of the input image other than the first area.13. The image processing device of claim 12 , wherein the image comparing unit detects the first area based on a difference between a luminance of the first object and a luminance of the registered image.14. The image processing device of claim 13 , further comprising:an image correcting unit for correcting at least one of the luminance of the first object and the luminance of the registered image, such that the luminance of the first object is about equal to the luminance of the registered image.15. The image processing device of claim 14 , further comprising: determine a position of the icon based on a position of the first area; and', 'supply the icon position to the display control unit., 'an icon generation unit configured to16. The image processing device of claim 14 , wherein:the recognition unit is ...

METHOD OF DETECTING SPACE DEBRIS

A method of detecting space debris includes: generating a virtual space debris in accordance with the law of conservation of mass by applying a debris breakup model to an object of breakup origin; calculating an orbit of each virtual space debris based on a debris orbit propagation model; and generating appearance frequency distribution of a motion vector of each virtual space debris on the celestial sphere based on the orbit calculation. The above operations are executed multiple times. The method further includes setting a search range vector based on a motion vector having a high level of the appearance frequency distribution of the motion vector, and applying a stacking method to regions in images captured at time intervals during the fixed point observation, the regions being shifted along the search range vector sequentially in the order of capture, thereby detecting space debris appearing on the images. 1. A method of detecting space debris on a geocentric orbit , the space debris appearing on a plurality of images captured at time intervals during fixed point observation , the method comprising:an object identification step of identifying an object of breakup origin which is likely to have broken up on the geocentric orbit in the past;a virtual debris generation step of generating a virtual space debris piece in accordance with the law of conservation of mass by applying a debris breakup model to the object of breakup origin identified in the object identification step;an orbit calculation step of applying a debris orbit propagation model to each virtual space debris piece generated in the virtual debris generation step, thereby calculating an orbit of the virtual space debris piece during the fixed point observation;a motion vector distribution generation step of generating appearance frequency distribution of a motion vector of each virtual space debris piece on the celestial sphere during the fixed point observation on the basis of a result of the orbit ...

EDGE DETECTION IMAGE CAPTURE AND RECOGNITION SYSTEM

Provided is a system and method of electronically identifying a license plate and comparing the results to a predetermined database. The software aspect of the system runs on standard PC hardware and can be linked to other applications or databases. It first uses a series of image manipulation techniques to detect, normalize and enhance the image of the number plate. Optical character recognition (OCR) is used to extract the alpha-numeric characters of the license plate. The recognized characters are then compared to databases containing information about the vehicle and/or owner. 1. A computer readable medium having computer-executable instructions for performing a method comprising:a. maintaining a database of predetermined identification values;b. capturing an image containing alpha-numeric characters from an imagining device;c. establishing a recognition value derived from the alpha-numeric characters within the image;d. storing the recognition value;e. comparing the recognition value to the predetermined identification values; andf. creating an alert responsive to a match between the recognition value and a value in the database of license plate identification values.2. The method of further comprising:a. establishing a character substitution table comprising a plurality of commonly mistaken character reads; andb. creating a plurality of altered recognition values derived from the recognition value and the character substation table.3. The method of claim 2 , further comprising displaying the image containing alpha-numeric characters with the plurality of altered recognition values.4. The method of wherein the database of predetermined identification values is selected from the group consisting of local law enforcement databases claim 1 , state law enforcement databases claim 1 , federal law enforcement databases claim 1 , security monitoring databases and access control databases.5. The method of wherein the imaging device is selected from the group consisting ...

Image processing apparatus, image capturing apparatus, and method of controlling the same

The present invention provides an image processing apparatus for performing image processing of image data in which information specifying, on a first coordinate system, a position of a portion of interest in an image is recorded, including an image processing unit configured to perform rotation processing of the image data using a second coordinate system having an origin different from that of the first coordinate system, and a change unit configured to change the information specifying the position of the portion of interest in accordance with a rotation amount of the image data by the rotation processing such that an image of the portion of interest specified by the information specifying the position of the portion of interest after the rotation processing matches that before the rotation processing.

TRAVEL PATH ESTIMATION APPARATUS AND PROGRAM

A characteristic point extraction section acquires an image captured by an image capture device and extracts characteristic points from the captured image, a vehicle lane boundary point selection section selects vehicle lane boundary points that indicate vehicle lanes from the extracted characteristic points, a distribution determination section determines the distribution of the vehicle lane boundary points, a system noise setting section sets each system noise based on the distribution of vehicle lane boundary points, and a travel path parameter estimation section stably predicts travel path parameters based on the vehicle lane boundary points, past estimation results, and the system noise that has been set. 1. A travel path estimation apparatus comprising:an acquisition section for acquiring a captured image of a periphery of a vehicle;an extraction section for extracting, from the captured image acquired by the acquisition section, characteristic points indicating vehicle lanes;a setting section for, based on a distribution of the characteristic points extracted by the extraction section, setting system noise expressing variation of travel path parameters when estimating travel path parameters related to a position or an angle of the vehicle itself with respect to a travel path for travel by the vehicle itself and related to a shape or a size of the travel path; andan estimation section for estimating the travel path parameters by probability signal processing using a discrete time signal based on the characteristic points extracted by the extraction section, a previous estimation result of the travel path parameters, and the system noise set by the setting section.2. The travel path estimation apparatus of claim 1 , wherein the travel path parameters related to the position and the angle of the vehicle itself with respect to the travel path include a lateral position of the vehicle itself with respect to the travel path claim 1 , a yaw angle with respect to a ...

ALIGNMENT OF OBJECTS IN AUGMENTED REALITY

Technologies are generally described for aligning objects in augmented reality. In some examples, a processor may be adapted to receive detected image data and virtual object data. In some examples, the processor may further be adapted to generate and apply weights to log-likelihood functions at intensity and feature levels based on the virtual object data and detected image data. In some examples, the processor may further be adapted to add the weighted log-likelihood function at intensity level to the weighted log-likelihood function at feature level to produce a cost function. In some examples, the processor may further be adapted to determine transformation parameters based on the cost function that may be used to align the detected image data with virtual object data. 1. A method for aligning first image data with second image data , the method comprising , by a processor:receiving first image data, wherein the first image data relates to a first image;receiving second image data, wherein the second image data relates to a second image;generating an intensity level function based on the first and second image data;generating a feature level function based on the first and second image data;combining the intensity level function and the feature level function to produce a cost function; anddetermining transformation parameters for the first image data based on the cost function, wherein the transformation parameters are effective to align the first image data with the second image data.2. The method of claim 1 , wherein:the first image data relates to a real image; andthe second image data relates to a virtual image.3. The method of claim 1 , further comprising applying a weight to at least one of the intensity level function or the feature level function prior to combining the intensity level function and the feature level function.4. The method of claim 1 , further comprising claim 1 , prior to combining the feature level function and the intensity level ...

SYSTEMS AND METHODS FOR CAPTURING MOTION IN THREE-DIMENSIONAL SPACE

Methods and systems for capturing motion and/or determining the shapes and positions of one or more objects in 3D space utilize cross-sections thereof. In various embodiments, images of the cross-sections are captured using a camera based on edge points thereof. 1. A method of identifying a position and shape of an object in three-dimensional (3D) space , the method comprising:capturing, with a single camera, an image generated by casting an output from at least one source onto the object;analyzing the image to computationally slice the object into a plurality of two-dimensional (2D) slices, each slice corresponding to a cross-section of the object, based at least in part on a plurality of edge points in the image; andreconstructing the position and shape of at least a portion of the object in 3D space based at least in part on a plurality of the identified cross-sectional positions and sizes.2. The method of claim 1 , wherein the at least one source is a light source.3. The method of claim 2 , wherein the edge points define a viewed portion of the cross-section within which the portion of the cross-section is within a field of view of an image-capturing device.4. The method of claim 3 , wherein the at least one source is three light-emitting diodes.5. The method of claim 3 , wherein the at least one source is more than three light-emitting diodes.6. The method of claim 3 , wherein the at least one source is two light-emitting diodes.7. The method of claim 3 , wherein light rays cast from the edge points to the image-capturing device are tangent to the cross-section.8. The method of claim 1 , wherein at least one of the edge points is created by emitting light from the at least one source onto the object.9. The method of claim 8 , wherein a light ray cast from the at least one source onto the at least one of the edge points is tangent to the cross-section.10. The method of claim 8 , wherein the at least one of the edge points is defined by a boundary between a ...

APPARATUS AND METHOD FOR TRACKING CONTOUR OF MOVING OBJECT, AND APPARATUS AND METHOD FOR ANALYZING MYOCARDIAL MOTION

A moving object contour tracking apparatus includes a contour tracking section for performing, by taking an initial contour of the moving object in a predetermined image slice as a starting contour, contour tracking in a first time direction to acquire a first contour of the moving object and contour tracking in a second time direction to acquire a second contour of the moving object in each image slice; a contour comparison section for calculating, in the predetermined image slice, a similarity between the first contour and the initial contour and a similarity between the second contour and the initial contour; and a contour correction section for taking the contours in the image slices that are acquired in a contour tracking direction corresponding to the greater one of the two similarities as the contours of the moving object in the respective image slices. 1. A moving object contour tracking apparatus for tracking a contour of a periodically deforming object in an image slice time series , the image slice time series comprising a plurality of image slices acquired at a plurality of time points in a motion period of the moving object , the moving object contour tracking apparatus comprising:a contour tracking section configured toperform, by taking an initial contour of the moving object in a predetermined image slice of the image slice time series as a starting contour, contour tracking in the image slice time series in a first time direction to acquire a first contour of the moving object in each image slice of the image slice time series, andperform, by taking the initial contour as a starting contour, contour tracking in the image slice time series in a second time direction to acquire a second contour of the moving object in each image slice of the image slice time series;a contour comparison section configured to calculate a similarity between the first contour of the moving object in the predetermined image slice and the initial contour as a first ...

METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR ESTIMATING IMAGE PARAMETERS

In accordance with an example embodiment a method, apparatus and computer program product are provided. The method comprises determining at least one first 1-D curve and at least one second 1-D curve. The method also comprises computing alignment parameters indicative of alignment adjustment between the at least one first 1-D curve and the at least one second 1-D curve. A scaling parameter and at least one translation parameter may be computed between the at least one first 1-D curve and the at least one second 1-D curve based at least on the alignment parameters. 1. A method comprising:determining at least one first one-dimensional (1-D) curve and at least one second 1-D curve;computing alignment parameters indicative of alignment adjustment between the at least one first 1-D curve and the at least one second 1-D curve; andcomputing a scaling parameter and at least one translation parameter between the at least one first 1-D curve and the at least one second 1-D curve based at least on the alignment parameters.2. The method as claimed in claim 1 , wherein the alignment parameters are associated with corresponding matching locations between the at least one first 1-D curve and the at least one second 1-D curve.3. The method as claimed in claim 1 , wherein computing the scaling parameter and the at least one translation parameter comprises estimating a straight line associated with a minimum distance path between the at least one first 1-D curve and at least one second 1-D curve claim 1 , the minimum distance being less than a predetermined threshold distance.4. The method as claimed in claim 1 , wherein computing the scaling parameter and the at least one translation parameter is performed based on the expression:{'br': None, 'i': h', 'x', 'm*h', 'x', 'c,, '1_ind()=2_ind()+'}{'b': 1', '2, 'wherein, h_ind(x) is the alignment parameter associated with at least one first 1-D curve, h_ind(x) is the alignment parameter associated with at least one second 1-D curve, m is ...

VIDEO ANALYTICS CONFIGURATION

Apparatus is disclosed which is operative to analyse a sequence of video frames of a camera view field to track an object in said view field and determine start and end points of said track in said view field. The apparatus also determines a start and end time for the said track corresponding to said start and end points respectively; and stores said start and end points and said start and end times as attributes of said track. 1. Apparatus operative to:analyze a sequence of video frames of a camera view field to track an object in said view field;determine start and end points of said track in said view field;determine a start and end time for the said track corresponding to said start and end points respectively; andstore said start and end points and said start and end times as attributes of said track.2. Apparatus according to claim 1 , further operative on a sequence of video frames of a plurality of surveillance network camera view fields to track an object in respective view fields and store respective start and end points and start and end times as attributes of each said track for respective view fields.3. Apparatus according to claim 2 , further operative to:determine a temporal relationship between an end time of a track in a first view field and a start time of a track in a second view field;based on said temporal relationship determine a likelihood value of a transition of said track in said first view field to said track in said second view field; andstore said likelihood value.4. Apparatus according to claim 3 , wherein said temporal relationship is based upon a spatial relationship in physical space between a start point corresponding to said start time and an end point corresponding to said end time.5. Apparatus according to claim 3 , further operative to:track plural objects in said first and second view fields and determine corresponding plural start and end points;determine start and end zones for said first and second view fields based on said ...

TRACKING AND IDENTIFICATION OF A MOVING OBJECT FROM A MOVING SENSOR USING A 3D MODEL

A system and method for detection, tracking, classification, and/or identification of a moving object from a moving sensor uses a three-dimensional (3D) model. The system facilitates generation of a 3D model using images from a variety of sensors, in particular passive two-dimensional (2D) image capture devices. 2D images are processed to determine viewpoint and find moving objects in the 2D images. Conventional techniques or an innovative technique can be used to find segments of 2D images having moving objects. Viewpoint and segment information is used for generation of a 3D model of an object, in particular using both object motion and sensor motion to generate the 3D model. 1. A method for generating a three-dimensional (3D) model of a moving object comprising:(a) providing a plurality of two-dimensional (2D) images of a scene sampled by an imaging sensor in motion;(b) deriving a viewpoint for each of the plurality of 2D images;(c) finding at least one segment in each of at least two of the plurality of 2D images, wherein said at least one segment includes a moving object; and(d) generating a 3D model of each of the moving objects using at least one segment in each of at least two of the plurality of 2D images with corresponding viewpoints.2. The method of wherein generating a 3D model further includes:(i) determining correspondences between elements of said at least one segment for each moving object;(ii) associating said at least one segment for each moving object with a segment viewpoint corresponding to said viewpoint of the 2D image in which said at least one segment is found;(iii) calculating a rotation and translation (R&T) for each of the moving objects in each of the plurality of 2D images using said segment viewpoint with said correspondences; and(iv) generating a 3D model of each of the moving objects using said at least one segment with said segment viewpoint and R&T for each of the moving objects.3. The method of wherein calculating a R&T further ...

Image Processing Apparatus and Camera System

An image processing apparatus or camera system comprises an image sensor a geometrical position calculation device for performing predetermined correction of a distortion, a first address table for storing information correlating an input side address based on the calculation results of the geometrical position calculation device to an output side address as a reference, a sort unit for sorting the output side addresses according to the input side addresses, a second address table for storing information correlating the output side address to the sorted input side address as a reference, and an address matching device for matching the input side address of input side image data DI with the input side address stored in the second address table and outputting output side image data DO. 1. An image processing apparatus , comprising:parameter setting means which has a setting of a parameter concerned with at least one of pan, tilt, zoom and rotation for cutting out a region to be displayed in an image taken in by a lens;geometrical position calculation means for calculating a geometrical position of each pixel in input side image data based on an output signal of imaging means, the each pixel corresponding to each pixel on an output screen, in order to perform predetermined transformation of a geometrical position of an image in the region based on the parameter;an address table for storing table information which is combined information obtained by correlating an input side address, as an address of the each pixel of the input side image data based on calculation results of the geometrical position calculation means, to an output side address as a reference which is an address of the each pixel on the output screen; andaddress matching means which checks the input side address of the each pixel of the input side image data, loaded in real time, against the input side address stored in the address table, and when both input side addresses are coincident, combines the ...

RECOGNITION SYSTEM, RECOGNITION METHOD AND COMPUTER READABLE MEDIUM

A recognition system includes an acquisition module configured to acquire an image data generated by an image sensor, a first generation module configured to generate a graphical user interface which contains the image data, and an input module configured to detect an input on the graphical user interface, the input indicating a position designation on the image data. The recognition system further includes a second generation module configured to overlap a frame-line on the image data of the graphical user interface based on the position designation detected by the input module, and a calculation module configured to calculate one or more feature values of an object image within the frame-line. 1. A recognition system , comprising:an acquisition module configured to acquire an image data generated by an image sensor;a first generation module configured to generate a graphical user interface which contains the image data;an input module configured to detect an input on the graphical user interface, the input indicating a position designation on the image data;a second generation module configured to overlap a frame-line on the image data of the graphical user interface based on the position designation detected by the input module; anda calculation module configured to calculate one or more feature values of an object image within the frame-line.2. The recognition system according to claim 1 , whereinthe input module is configured to detect a plurality of inputs, each corresponding to a different position designation,the second generation module is configured to overlap a plurality of frame-lines on the imaged data of the graphical user interface, each frame line corresponding to one of the different position designations.3. The recognition system according to claim 1 , whereinthe graphical user interface includes a button, andwhen the input module detects an input corresponding to the button, the calculation module is configured to start to calculate the one or ...

ARTICLE RECOGNITION SYSTEM AND ARTICLE RECOGNITION METHOD

According to embodiments, an article recognition system is disclosed. The article recognition system comprises an image sensor configured to capture an image of an article, and a determining module configured to determine a value indicative of darkness of the captured image and compare the determined value with a reference value. The article recognition system further comprises a changing module configured to change the reference value when the determined value is less than the reference value, and an extracting module configured to identify the article on the basis of the captured image when the determined value is greater than the reference value. 1. An article recognition system comprising:an image sensor configured to capture an image of an article;a determining module configured to determine a value indicative of darkness of the captured image and compare the determined value with a reference value;a changing module configured to change the reference value when the determined value is less than the reference value; andan extracting module configured to identify the article on the basis of the captured image when the determined value is greater than the reference value.2. The article recognition system according to claim 1 , wherein the changing module changes the reference value by changing an output of a light source that reflects light from the article to the image sensor.3. The article recognition system according to claim 1 , further comprising:a similarity calculating module configured to compare a darkness level of the captured image to a darkness level in each of a plurality of stored image data and calculate similarity values, wherein the extracting module identifies the article on the basis of the calculated similarity values of the captured image.4. The article recognition system according to claim 3 , further comprising:a database that holds a plurality of records, each record having a commodity code and a plurality of similarity levels corresponding ...

IMAGE ALIGNMENT METHOD AND IMAGE ALIGNMENT SYSTEM

An image alignment method includes steps of receiving a first image and a second image; scaling the first image and the second image by a ratio to generate a first downsized image and a second downsized image respectively; determining a first offset between the first downsized image and the second downsized image; selecting a first saliency region and a second saliency region from the first downsized image and the second downsized image; determining a second offset between a first sub-region within the first image and a second sub-region within the second image, the first sub-region and the second sub-region corresponding to the first saliency region and the second saliency region respectively; determining a final offset according to the ratio, the first offset and the second offset; and aligning the first image and the second image by the final offset. 1. An image alignment method , comprising steps of:receiving a first image and a second image;scaling the first image and the second image by a ratio to generate a first downsized image and a second downsized image respectively;determining a first offset between the first downsized image and the second downsized image;selecting a first saliency region and a second saliency region from the first downsized image and the second downsized image;determining a second offset between a first sub-region within the first image and a second sub-region within the second image, the first sub-region and the second sub-region corresponding to the first saliency region and the second saliency region respectively;determining a final offset according to the ratio, the first offset and the second offset; andaligning the first image and the second image by the final offset.2. The image alignment method of claim 1 , wherein the step of determining a first offset between the first downsized image and the second downsized image comprises steps of:extracting a first feature map and a second feature map from the first downsized image and the ...

Camera to Track an Object

Methods and apparatus to create and display screen stereoscopic and panoramic images are disclosed. Methods and apparatus are provided to generate multiple images that are combined into a stereoscopic or a panoramic image. A controller provides correct camera settings for different conditions. A controller rotationally aligns images of lens/sensor units that are rotationally misaligned. A compact controllable platform holds and rotates a camera. A remote computing device with a camera and a digital compass tracks an object causing the camera in the platform to track the object. 1. A method for tracking an object with a camera , comprising:the camera removably positioned in a holder attached to an actuator attached to a housing, the actuator enabled to rotate the holder relative to the housing, the camera recording an image of the object;a second camera located at a remote location including a display displaying the image of the object recorded by the camera and an image of the object recorded by the second camera being part of a mobile computing device including a digital compass and a processor; anda user tracking the object with the second camera causing the camera to track the object based on data from the digital compass.2. The method of claim 1 , wherein the image of the object recorded by the camera and the image of the object recorded by the second camera are displayed within a window displayed on the display.3. The method of claim 1 , wherein the mobile computing device is a smart phone.4. The method of claim 1 , wherein the mobile computing device provides data that controls the actuator.5. The method of claim 1 , further comprising: determining an initial azimuth of the housing.6. The method of claim 1 , further comprising: determining a plurality of positions of the actuator relative to a neutral position.7. The method of claim 1 , further comprising estimating a speed of the second camera by the processor.8. The method of claim 7 , wherein an error angle ...

REGISTRATION OF SEPARATIONS

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. 1. A method for automatic registration of film separations , the method comprising:accessing component images that are based on digitized film separations, wherein each of the component images includes a set of gray-level pixels;determining automatically an alignment vector for at least a part of a selected component image from among the accessed component images; andcorrecting one or more film distortions by applying the alignment vector to the part of the selected component image.2. The method of wherein the accessed component images are based on digitized color film separations.3. The method of wherein accessing component images comprises digitizing film separations.4. The method of wherein the alignment vector aligns the part of the selected component image with a corresponding part of a second of the accessed component images claim 1 , the method further comprising combining the selected component image and the second of the accessed component images after applying the alignment vector.5. The method of further comprising ...

METHOD AND APPARATUS FOR AUTOMATED PLANT NECROSIS

A method of distinguishing individual plants within a row of plants, including directing radiation at the row of plants at an angle selected to illuminate a portion of the plant and cast a shadow at the plant center, collecting an image from the radiation reflected off of two or more contiguous plants with a detector, identifying a continuous foreground region indicative of a plant within the image, identifying points of interest within the region, classifying the points of interest as plant centers and non-plant centers, and segmenting the region into sub-regions, each sub-region encompassing a single point of interest classified as a plant center. 1. A method of distinguishing individual plants within a row of plants extending from a ground , comprising:illuminating two contiguous plants within the row at an angle between the ground and a normal vector to the ground with a light;collecting an image of the two plants with a camera oriented with a view plane substantially parallel to the ground;identifying a continuous region indicative of a plant;identifying points of interest within the region based on gradients identified within the region, wherein points of interest comprise portions of the region having gradients greater than a gradient threshold;selecting a first and a second point of interest; andsegmenting the region into a first and a second sub-region encompassing the first and the second selected points of interest, respectively.2. The method of claim 1 , further comprising segmenting the image into a background and a foreground claim 1 , wherein identifying a continuous region indicative of a plant comprises identifying a continuous region indicative of a plant within the foreground.3. The method of claim 1 , further comprising classifying the points of interest as plant centers and non-plant centers with a machine learning algorithm claim 1 , wherein selecting a first and a second point of interest comprises selecting a first and a second point of ...

Multifunctional Bispectral Imaging Method and Device

A multifunctional device and method for bispectral imaging are provided. The device and method include acquiring a plurality of bispectral images (IBM), each bispectral image being the combination of two acquired images (I, 1) in two different spectral bands, and generating a plurality of images, each of which gives an impression of depth by combining the two acquired images (I, 1) and forming imaging information. The method includes simultaneously processing the plurality of bispectral images in order to generate, in addition to the imaging information, watch information and/or early threat information, comprising the following steps: searching for specific spectrum and time signatures, associated with a particular threat, in the plurality of bispectral images; and detecting a specific object in each bispectral image, and generating a time-tracking of the position of the object in the plurality of images in each spectral band, and the detecting and the tracking of the object forming the watch information. 19-. (canceled)10. A multifunctional bispectral imaging method comprising the steps of:{'sub': M', '1', '2, 'acquiring a plurality of bispectral images (IB), each bispectral image being the combination of two images (IM, IM) acquired in two different spectral bands;'}generating a plurality of images, each image giving an impression of depth by combining the two images acquired in the two different spectral bands, the plurality of images being imaging information; searching for specific spectrum and time signatures in the plurality of bispectral images, a particular spectral and time signature being associated with a particular threat; and', 'detecting a specific object in each bispectral image, and generating a time-tracking of the position of the object in the plurality of images in each spectral band, the detecting and the tracking of the object forming the watch information., 'processing, simultaneously, the plurality of bispectral images to generate, in ...

OBJECT IDENTIFICATION SYSTEM AND METHOD

According to embodiments, an object identification system is disclosed. The object identification system comprises a dictionary file comprising multiple records, each record including: an object identification code, and one or more standard images, wherein each standard image is related to one of the object identification codes. The object identification system further comprises a computation module configured to calculate a similarity by comparing an image data produced by an image sensor with the standard images in each record, and an identification module configured to identify one or more of the object identification codes based on the calculated similarity. The object identification system further comprises a production module configured to produce a graphical user interface that displays each of one or more standard images that are related to one of the object identification codes specified by a user.

DETECTING APPARATUS OF HUMAN COMPONENT AND METHOD THEREOF

Disclosed are an apparatus and a method of detecting a human component from an input image. The apparatus includes a training database (DB) to store positive and negative samples of a human component, an image processor to calculate a difference image for the input image, a sub-window processor to extract a feature population from a difference image that is calculated by the image processor for the positive and negative samples of a predetermined human component stored in the training DB, and a human classifier to detect a human component corresponding to a human component model using the human component model that is learned from the feature population. 1. An image forming system comprising:a photographing apparatus to photograph an image of an object;a detecting apparatus to detect a region of the object corresponding to an object model from a difference image of the object using the object model, wherein the object model is learned from a feature population extracted from a difference image of positive and negative samples of the object;a status parameter computing apparatus to compute status parameters based on the detected object region where the object exists in the image of the object, so as to enable the object to be in the central region of the image;a controller to receive the status parameters and adjust the status of the image;a storing apparatus to store the image of the object; anda display apparatus to display the image of the object.2. The system of further comprising:a marking apparatus to provide the detecting apparatus with a region of the object which is manually marked on the image by a user.3. The system of claim 1 , wherein the controller controls at least one of operations of rotation claim 1 , tilting claim 1 , zooming claim 1 , and selecting a focus region according to the status parameters.4. The system of claim 1 , wherein the controller selects a new region where the object exists as a focus region.5. The system of claim 1 , wherein the ...

System And Process For Detecting, Tracking And Counting Human Objects Of Interest

A method of identifying, tracking, and counting human objects of interest based upon at least one pair of stereo image frames taken by at least one image capturing device, comprising the steps of: obtaining said stereo image frames and converting each said stereo image frame to a rectified image frame using calibration data obtained for said at least one image capturing device; generating a disparity map based upon a pair of said rectified image frames; generating a depth map based upon said disparity map and said calibration data; identifying the presence or absence of said objects of interest from said depth map and comparing each of said objects of interest to existing tracks comprising previously identified objects of interest; for each said presence of an object of interest, adding said object of interest to one of said existing tracks if said object of interest matches said one existing track, or creating a new track comprising said object of interest if said object of interest does not match any of said existing tracks; updating each said existing track; and maintaining a count of said objects of interest in a given time period based upon said existing tracks created or modified during said given time period.

METHODS FOR GENERATING VISIBILITY MAPS

Apparatuses, methods, systems and computer-readable media for generating a visibility map in determination of a user's location are presented. Some embodiments may identify a point of interest (POI) whose location is predefined on a map. The map may be an overhead map, similar to a map found at a shopping mall or a 3-dimensional map. Embodiments may then determine a plurality of vectors emanating from the POI. The vectors may be representative of lines of sight from the POI on the map. Embodiments may then integrate at least some of the plurality of vectors to calculate an area on the map representative of a visibility map. 1. A method for generating a visibility map in determination of a user's location , the method comprising:identifying a point of interest (POI) whose location is predefined on a map;determining a plurality of vectors emanating from the POI; andintegrating at least some of the plurality of vectors to calculate an area on the map representative of a visibility map.2. The method of further comprising determining an orientation of the POI relative to an edge having a predefined location on the map.3. The method of further comprising integrating a plurality of the plurality of vectors emanating from the POI and oriented on one side of the edge.4. The method of further comprising eliminating an area of the visibility map enclosed on one side of the edge.5. The method of further comprising modifying the location of the POI such that the recalculated location of the POI corresponds to an edge on the overhead map that is substantially close to the predefined location of the POI.6. The method of wherein modifying the location of the POI further comprises computing a normal vector intersecting the edge and the predefined location of the POI.7. The method of further comprising modifying the visibility map based on a steepness of an angle relative to the POI.8. The method of further comprising truncating the plurality of vectors such that each of the ...

DIGITAL ANTI-COUNTERFEITING SOFTWARE METHOD AND APPARATUS

An authenticatable object comprises a surface having a latent hidden image embossed therein. The latent image is an encoded version of an authentication image and comprises a plurality of elements applied to the surface with a predetermined frequency. The latent hidden image is configured for optical decoding by a decoder having a decoder frequency corresponding to the predetermined frequency.

PERIPHERAL INFORMATION GENERATING APPARATUS, CONVEYANCE, PERIPHERAL INFORMATION GENERATING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM

The peripheral information generating apparatus includes (i) a projection section for forming a projection pattern L, which at least partially has a continuous profile, on a road by irradiating the road with light, (ii) an image capturing section, and (iii) an image analyzing section for generating peripheral information, which indicates a peripheral situation of the peripheral information generating apparatus and of the road, by analyzing the projection pattern. 1. A peripheral information generating apparatus comprising:a projection section for forming a projection pattern, which at least partially has a continuous profile, on a surface of a projection target by irradiating the projection target with light;an image capturing section for capturing an image of the projection pattern formed on the surface; andan image analyzing section for generating peripheral information, which indicates a peripheral situation of said peripheral information generating apparatus and of the projection target, by analyzing the projection pattern in the image captured by the image capturing section.2. The peripheral information generating apparatus as set forth in claim 1 , wherein:in a case where at least one of (i) an event in the projection target and (ii) the projection pattern moves, the image analyzing section generates the peripheral information for each of all events that pass through a contour of the projection pattern.3. The peripheral information generating apparatus as set forth in claim 1 , wherein:the projection pattern intersects, in at least one location, with an arbitrary straight line passing through a point which exists within the contour of the projection pattern.4. The peripheral information generating apparatus as set forth in claim 1 , wherein:the projection pattern has at least one of a lattice shape and a closed continuous profile.5. The peripheral information generating apparatus as set forth in claim 1 , wherein:the projection section emits the light so that ...

LOITERING DETECTION IN A VIDEO SURVEILLANCE SYSTEM

A behavioral recognition system may include both a computer vision engine and a machine learning engine configured to observe and learn patterns of behavior in video data. Certain embodiments may be configured to learn patterns of behavior consistent with a person loitering and generate alerts for same. Upon receiving information of a foreground object remaining in a scene over a threshold period of time, a loitering detection module evaluates the whether the object trajectory corresponds to a random walk. Upon determining that the trajectory does correspond, the loitering detection module generates a loitering alert. 1. A method for detecting loitering behavior of objects depicted in a scene captured by a video camera , the method comprising:receiving a trajectory for an object in the scene, wherein the object has been in the scene for a time period, and wherein the trajectory tracks a two-dimensional (2D) path of the object relative to a series of video frames in which the object is depicted; andupon determining that the time period that the object has been in the scene is greater than a threshold time period and determining that the trajectory corresponds to a random walk, generating a loitering alert.2. The method of claim 1 , wherein the object trajectory corresponds to a random walk if D<√{square root over (2N)} claim 1 , where D is a distance from a starting point in the trajectory to a final point in the trajectory and N is a total number of steps in the trajectory.3. The method of claim 2 , wherein distance D and steps are determined relative to distances between a set of pixels corresponding to the object in the series of video frames claim 2 , and wherein the steps are determined by a centroid position of the object in each video frame.4. The method of claim 1 , wherein the trajectory corresponds to a random walk if D<√{square root over (2N)} claim 1 , and D′<√{square root over (2N′)} claim 1 , where D is a distance from a starting point in the trajectory ...

Method and a device for objects counting

A method and a device for objects counting in image processing includes acquiring the depth image of any one frame; detecting objects according to the depth image; associating the identical object in different frames to form a trajectory; and determining the number of objects according to the number of trajectories. The devices include an acquisition module for acquiring the depth image of any one frame; a detection module for detecting objects according to the depth image; an association module for associating the identical object in different frames to form a trajectory; a determining module for determining the number of objects according to the number of trajectories. The objects are detected according to the depth image. The identical object in different frames is associated to form a trajectory and the number of objects is determined according to the number of trajectories.

A SYSTEM AND METHOD FOR TRACKING MOVING OBJECTS

A method for tracking an object that is embedded within images of a scene, including: in a sensor unit, generating, storing and transmitting over a communication link a succession of images of a scene. In a remote control unit, receiving the images, receiving a command for selecting an object of interest in a given image and determining object data associated with the object and transmitting the object data to the sensor unit. In the sensor unit, identifying the given image and the object of interest using the object data, and tracking the object in other images. If the object cannot be located in the latest image of the stored succession of images, using information of images in which the object was located to predict estimated real-time location thereof and generating direction commands to the movable sensor for generating realtime images of the scene and locking on the object. 1. A method for indicating an area in an image as a candidate of a sought object of interest in a scene , comprising:receiving data indicative of estimated future coarse location of an object in the scene;generating a succession of images of an area in the scene, the images includes the estimated coarse location,comparing between at least two images of said succession, and in the case of difference in at least a respective portion of the at least two images that meets a given threshold, the difference, in a later image, is identified as a candidate object of said object.2. The method according to claim 1 , wherein said threshold being one member of a group that includes: (i) changing of values of at least n pixels in the image claim 1 , (ii) changing of values of at least n pixels in the image by at least m value delta.3. The method according to claim 1 , wherein said threshold being cluster of pixels whose gray level values were changed.4. The method according to claim 1 , further comprising generating at least one additional image and locating the candidate object in said at last one ...

COMMODITY MANAGEMENT APPARATUS

A commodity management apparatus comprises an extraction section configured to extract a plurality of objects shown in a display state image which is obtained by color-photographing a display space in which a plurality of commodities are displayed, wherein the plurality of commodities respectively have labels which indicate objects of different colors according to the timing at which labels are respectively adhered to the commodities, a discrimination section configured to discriminate color of each object extracted by the extraction section, and a counting section configured to respectively count the plurality of objects extracted by the extraction section according to each color discriminated by the discrimination section. 1. A commodity management apparatus , comprising:an extraction section configured to extract a plurality of objects shown in a display state image which is obtained by color-photographing a display space in which a plurality of commodities are displayed, the plurality of commodities respectively having labels which indicate objects of different colors according to each timing period at which labels are respectively adhered to the commodities;a discrimination section configured to discriminate color of each object extracted by the extraction section; anda counting section configured to respectively count the plurality of objects extracted by the extraction section according to each color discriminated by the discrimination section.2. The commodity management apparatus according to claim 1 , further including a generation section configured to generate a list image in which the number of counts counted by the counting section for each color of the objects is shown in association with the color of the objects or the timing periods claim 1 , at which labels are respectively adhered to the commodities claim 1 , relevant to the color of the objects.3. The commodity management apparatus according to further including a first memory configured to store ...

OBJECT DETECTION METHOD, OBJECT DETECTION APPARATUS, AND PROGRAM

An object detection method includes an image acquisition step of acquiring an image including a target object, a layer image generation step of generating a plurality of layer images by one or both of enlarging and reducing the image at a plurality of different scales, a first detection step of detecting a region of at least a part of the target object as a first detected region from each of the layer images, a selection step of selecting at least one of the layer images based on the detected first detected region and learning data learned in advance, a second detection step of detecting a region of at least a part of the target object in the selected layer image as a second detected region, and an integration step of integrating a detection result detected in the first detection step and a detection result detected in the second detection step. 1. An object detection method comprising:an image acquisition step of acquiring an image including a target object;a layer image generation step of generating a plurality of layer images by one or both of enlarging and reducing the image at a plurality of different scales;a first detection step of detecting a region of at least apart of the target object as a first detected region from each of the layer images;a selection step of selecting at least one of the layer images based on the detected first detected region and learning data learned in advance;a second detection step of detecting a region of at least a part of the target object in the layer image selected in the selection step as a second detected region; andan integration step of integrating a detection result detected in the first detection step and a detection result detected in the second detection step.2. The object detection method according to claim 1 , wherein the integration step includes determining a result of the integration step as the region of the target object based on an overlap degree between the first detected region and the second detected region. ...

FLEXIBLE EASY-TO-USE SYSTEM AND METHOD OF AUTOMATICALLY INSERTING A PHOTOREALISTIC VIEW OF A TWO OR THREE DIMENSIONAL OBJECT INTO AN IMAGE USING A CD,DVD OR BLU-RAY DISC

Certain aspects are directed to a system for augmenting an existing digital image with the image of an object inserted with the proper scale and perspective for the purpose of visualization. The system includes an interface for inputting one or more images of the scene and methods for obtaining any of camera calibration, camera orientation and partial or full metric reconstruction of the scene. The image(s) of the scene can be required to be rendered with an optical disc such as CD, DVD or Blu-Ray placed on flat, identifiable rectangular surface within the scene. 1. A system configured to obtain any combination of camera internal calibration , camera pose and Euclidean scene reconstruction of a scene by rendering one or more images of a planar object on which there are no prior known points or patterns or visually identifiable points or patterns within the scene and without need of any knowledge of the position of the camera within the scene.2. The system of claim 1 , wherein at least one digital image of the scene is rendered with at least one optical disc such as a compact disc claim 1 , DVD or Blu-ray disc of standard size placed within the scene and similar camera settings are used for all of the at least one digital images rendered.3. The system of claim 2 , wherein the at least one optical disc in the at least one image is placed on an identifiable flat rectangular surface claim 2 , coincident with or parallel to the ground surface of the scene and in which the rectangular surface is fully enclosing of the at least one optical disc in the at least one image.4. The system of claim 3 , wherein the user after rendering the at least one image can upload or otherwise enter the at least one image to the system using one or more of the following methods: any manner of inter-networked or networked connection; manually inputting the image to the system.5. The system of claim 3 , wherein the system may reside entirely on a single processing platform or be distributed ...

SYSTEM AND METHOD FOR OBJECT DETECTION

The present invention therefore provides a system and method of object detection that employs both global object detection and local object detection. In particular, the present invention applies global object detection techniques to detect global objects, and then applies local object detection techniques on select portions of detected global objects to detect local objects. 1. An image recognition system for detecting global and local objects within a received image , the system comprising:a global object detection module for detecting global objects within the received image;a local object region extraction module for selecting local regions of interest within the detected global objects; anda local object detection module for detecting local objects within the selected local regions of interest, wherein the local object detection module provides feedback to the global object detection, wherein the feedback is employed by the global object detection module to correct errors in the detected global objects.2. The image recognition system of claim 1 , wherein the local object region extraction module selected local regions of interest within the detected global objects based on a known relationship between global objects and local objects to be detected.3. The image recognition system of claim 1 , wherein the feedback provided by the local object detection module identifies those global objects in which no local object was detected.4. The image recognition system of claim 3 , wherein the global object detection module corrects errors by removing from detection those global objects in which no local object was detected.5. The image recognition system of claim 1 , further including:a local object recognition module for identifying objects based on analysis of the detected local objects.6. The image recognition system of claim 1 , wherein the received image includes a plurality of images or frames of image data.7. A computer-vision method of providing global and local ...

Initialization for Robust Video-Based Structure from Motion

An initialization technique that may, for example, be used in an adaptive reconstruction algorithm implemented by structure from motion (SFM) techniques. The initialization technique computes an initial reconstruction from a subset of frames in an image sequence. The initialization technique may be performed to determine and reconstruct a set of initial keyframes covering a portion of the image sequence according to the point trajectories. In the initialization technique, a set of temporally spaced keyframe candidates is determined and two initial keyframes are selected from the set of keyframe candidates. The two initial keyframes are reconstructed, and then one or more additional keyframes between the two initial keyframes are selected and reconstructed. 1. A method , comprising: obtaining a set of point trajectories for the image sequence;', 'determining a subset of the plurality of frames as keyframes in the image sequence;', 'selecting a pair of the keyframes as initial keyframes for the image sequence according to the set of point trajectories; and', 'generating an initial reconstruction of camera motion and camera intrinsic parameters for the image sequence according to the pair of initial keyframes and at least a portion of the set of point trajectories, wherein the initial reconstruction covers a portion of the image sequence., 'initializing, by one or more computing devices, a reconstruction of camera motion and camera intrinsic parameters for an image sequence including a plurality of frames, wherein said initializing the reconstruction comprises2. The method as recited in claim 1 , wherein the keyframes are temporally spaced frames in the plurality of frames of the image sequence.3. The method as recited in claim 1 , wherein said selecting a pair of the keyframes as initial keyframes for the image sequence according to the set of point trajectories comprises:determining two or more pairs of the keyframes as candidate initial pairs of keyframes;computing ...

Keyframe Selection for Robust Video-Based Structure from Motion

An adaptive technique is described for iteratively selecting and reconstructing keyframes to fully cover an image sequence that may, for example, be used in an adaptive reconstruction algorithm implemented by a structure from motion (SFM) technique. A next keyframe to process may be determined according to an adaptive keyframe selection technique. The determined keyframe may be reconstructed and added to the current reconstruction. A global optimization may be performed on the current reconstruction. One or more outlier points may be determined and removed from the reconstruction. One or more inlier points may be determined and recovered. If the number of inlier points that were added exceeds a threshold, then global optimization may again be performed. If the current reconstruction is a projective construction, self-calibration may be performed to upgrade the projective reconstruction to a Euclidean reconstruction.

TARGET IDENTIFICATION SYSTEM TARGET IDENTIFICATION SERVER AND TARGET IDENTIFICATION TERMINAL

A computer and a terminal apparatus retain position information about targets. The terminal apparatus includes: a capturing portion that captures an image of the target; a position information acquisition portion that acquires information about a position to capture the target; an orientation information acquisition portion that acquires information about an orientation to capture the target; and a communication portion that transmits the image, the position information, and the orientation information to the computer. The computer identifies at least one first target candidate as a candidate for the captured target from the targets based on the position information about the targets, the acquired position information, and the acquired orientation information. The computer identifies at least one second target candidate from at least the one first target candidate based on a distance from the terminal apparatus to the captured target. 1. A target identification system comprising:a computer connected to a network; anda terminal apparatus connected to the network,wherein the computer includes an interface connected to the network, a processor connected to the interface, and a storage apparatus connected to the processor;wherein the storage apparatus retains position information about a plurality of targets;wherein the terminal apparatus includes:a capturing portion that captures an image of the target;a position information acquisition portion that acquires information about a position to capture an image of the target;an orientation information acquisition portion that acquires information about an orientation to capture an image of the target; anda communication portion that transmits an image captured by the capturing portion, position information acquired by the position information acquisition portion, and orientation information acquired by the orientation information acquisition portion to the computer via the network;wherein the computer identifies at least ...

Methods and Systems for Enhancing Read Accuracy in an Automated License Plate Reader System

One embodiment of the apparatuses, methods, and systems of the present disclosure is a license plate, sticker, or ALPR system having enhanced or increased accuracy. At least one of the license plate, sticker, or ALPR system includes useful information that is transmitted over a first channel and checking information that is transmitted over a second channel. The second channel is devoted solely to transmitting the checking information (e.g., the second channel does not transmit useful information). In other words, the license plates, stickers, and ALPR systems of the present disclosure include at least one channel that is devoted solely to transmitting checking information.

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus and an image processing method processing a graphic image are provided. An image processing apparatus including: a display unit; a first image output unit which outputs a first image signal; a second image output unit which outputs a second image signal and a transparency information with respect to the second image signal; an image mixing unit which outputs a third image signal mixing the first image signal and the second image signal by using the transparency information; an image processing unit which processes the third image signal to output to the display unit; and a control unit which extracts the transparency information from the second image output unit, and outputs a position information about which the second image signal is displayed in the display unit based on the extracted transparency information to the image processing unit. 1. An image processing apparatus comprising:an image mixing unit which receives a first image signal and a second image signal, mixes the first image signal and the second image signal, and outputs a third image signal as a result of the mixing;an image processing unit which processes the third image signal and outputs the processed third image signal to a display unit; anda control unit which outputs to the image processing unit position information regarding the displaying of the second image signal in the display unit.2. The image processing apparatus according to claim 1 , further comprising:a first image output unit which outputs the first image signal; anda second image output unit which outputs the second image signal and transparency information with respect to the second image signal,wherein the image mixing unit mixes the first image signal and the second image signal by using the transparency information.3. The image processing apparatus according to claim 2 , wherein the control unit extracts the transparency information from the second image output unit and generates the position ...

IMAGE RECOGINITION DEVICE, IMAGE RECOGNITION METHOD, AND IMAGE RECOGNITION PROGRAM

An image recognition device includes an image acquiring unit configured to acquire an image, and an object recognition unit configured to extract feature points from the image acquired by the image acquiring unit, to detect coordinates of the extracted feature points in a three-dimensional spatial coordinate system, and to determine a raster scan region which is used to recognize a target object based on the detection result. 1. An image recognition device comprising:an image acquiring unit configured to acquire an image; andan object recognition unit configured to extract feature points from the image acquired by the image acquiring unit, to detect coordinates of the extracted feature points in a three-dimensional spatial coordinate system, and to determine a raster scan region which is used to recognize a target object based on the detection result.2. The image recognition device according to claim 1 , wherein the object recognition unit is configured to create virtual windows based on information on distances at the coordinates in the three-dimensional spatial coordinate system detected for the extracted feature points and information on positions other than the distances of the extracted feature points claim 1 , to consolidate the created virtual windows claim 1 , and to prepare a raster scan region.3. The image recognition device according to claim 2 , wherein the object recognition unit is configured to determine a region of a virtual window claim 2 , which is obtained as the final consolidation result of the virtual windows claim 2 , as the raster scan region.4. The image recognition device according to claim 2 , wherein the object recognition unit is configured to set sizes of the virtual windows based on the information on the distances in the three-dimensional spatial coordinate system detected for the extracted feature points claim 2 , to set the positions of the virtual windows based on the information on the positions other than the distances of the ...

Distance-Varying Illumination and Imaging Techniques for Depth Mapping

A method for mapping includes projecting a pattern onto an object ( 28 ) via an astigmatic optical element ( 38 ) having different, respective focal lengths in different meridional planes ( 54, 56 ) of the element. An image of the pattern on the object is captured and processed so as to derive a three-dimensional (3D) map of the object responsively to the different focal lengths.

Image Capture and Identification System and Process

A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.

Information processing system, information processing method, and information processing program

The present invention includes: a database which stores a position on a map and feature information in an image which can be taken by an imaging device at the position, to be associated with each other; an extraction means for extracting the feature information from the image; an estimation means for estimating the position at which the imaging device exists on a map on the basis of the extracted feature information referring to the database; a display means for displaying an estimated current position of the imaging device; a determination means for determining whether or not an imaging direction of the imaging device is varied by a predetermined amount from a direction in which the image from which the feature information is extracted is taken during the imaging; and a control means for controlling the extraction means so that new feature information is extracted, upon determining that the direction is varied by the predetermined amount; wherein the estimation means combines the new feature information and the extracted feature information and re-estimates the position on the map at which the imaging device exists when the new feature information is extracted.

METHOD FOR SAFELY IDENTIFYING MOVING OBJECT

A non-contact identification and measurement method for identifying moving three-dimensional objects within an identification area, comprising the steps of detecting the presence of a moving object by scanning said identification area with a first eye-safe laser-based range detector system; discriminating between an object safe to be identified and an object not to be identified; for an object safe to be identified, activating a second laser-camera system and determining the speed and position of said object with said second laser-camera system; when said object safe to be identified reaches a position located in an active measurement area within said identification area, activating a third laser-camera system to acquire range data of said object. 1. A non-contact acquisition and measurement method for identifying moving three-dimensional objects within an identification area , comprising the steps of:(1) detecting the presence of a moving object by scanning said identification area with a first eye-safe laser-camera system,(2) discriminating between an object safe to be identified and an object not to be identified,(3) for an object to be identified, activating a second laser-camera system and determining the speed and position of said object with said second laser-camera system, 'wherein said first eye-safe laser is a Class 1 or Class 1M laser and said second and third lasers are at least Class 2 lasers.', '(4) when said object to be identified reaches a position located in an active measurement area within said identification area, activating a third laser-camera system to acquire range data of said object, and'}2. The method according to claim 1 , wherein said first laser-camera system is a laser-based range detector system or a laser-based range detector system based on Time-of-Flight measurement principle.3. The method according to claim 2 , wherein said second and/or third laser-camera systems are based on laser triangulation and 3D camera.4. The method ...

Foreground subject detection

Classifying pixels in a digital image includes receiving a primary image from a primary image sensor. The primary image includes a plurality of primary pixels. Depth information from a depth sensor is also received. The depth information and the primary image are cooperatively used to identify whether a primary pixel images a foreground subject or a background subject.

IMAGE PROCESSING DEVICE, IMAGE CAPTURING DEVICE, AND IMAGE PROCESSING METHOD

An image processing device for tracking a subject included in a first image, in a second image captured after the first image includes: a segmentation unit that divides the first image into a plurality of segments based on similarity in pixel values; an indication unit that indicates a position of the subject in the first image; a region setting unit that sets, as a target region, a region including at least an indicated segment which is a segment at the indicated position; an extraction unit that extracts a feature amount from the target region; and a tracking unit that tracks the subject by searching the second image for a region similar to the target region using the extracted feature amount. 112-. (canceled)13. An image processing device for tracking a subject included in a first image , in a second image captured after the first image , the image processing device comprising:a segmentation unit configured to divide the first image into a plurality of segments based on similarity in pixel values;an indication unit configured to indicate a position of the subject in the first image;a region setting unit configured to set, as a target region, a segment group including an indicated segment which is a segment at the indicated position;an extraction unit configured to extract a feature amount from the target region; anda tracking unit configured to track the subject by searching the second image for a region similar to the target region using the extracted feature amount, andwherein the region setting unit is configured to set a segment group forming one continuous region, as the target region, the segment group including the indicated segment and a similar segment having a value which indicates image similarity to the indicated segment and is greater than a threshold.14. The processing device according to claim 13 ,wherein the segmentation unit is configured to divide the first image into a plurality of segments based on similarity in colors.15. The processing ...

Optimal gradient pursuit for image alignment

A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.

VIDEO ANALYSIS

A method () and an object analyzer () for analyzing objects in images captured by a monitoring camera () uses a first and a second sequence of image frames, wherein the first sequence of image frames covers a first image area () and has a first image resolution, and the second sequence of image frames covers a second image area () located within the first image area () and has a second image resolution higher than the first image resolution. A common set of object masks is provided wherein object masks of objects () that are identified as being present in both image areas are merged. 1. A method of analyzing objects in images captured by a monitoring camera , comprising the steps of:receiving a first sequence of image frames having a first image resolution and covering a first image areareceiving a second sequence of image frames having a second image resolution higher than the first image resolution and covering a second image area being a portion of the first image area,detecting objects present in the first sequence of image framesdetecting objects present in the second sequence of image frames,providing a first set of object masks for objects detected in the first sequence of image frames,providing a second set of object masks for objects detected in the second sequence of image frames,identifying an object present in the first and the second sequence of image frames by detecting a first object mask in the first set of object masks at least partly overlapping a second object mask in the second set of object masks,merging the first and the second object mask into a third object mask by including data from the first object mask for parts present only in the first image area, and data from the second object mask for parts present in the second image area, and the first set of object masks excluding the first object mask,', 'the second set of object masks excluding the second object mask, and', 'the third object mask., 'providing a third set of object masks ...

OPERATING A COMPUTING DEVICE BY DETECTING ROUNDED OBJECTS IN AN IMAGE

A method is disclosed for operating a computing device. One or more images of a scene captured by an image capturing device of the computing device is processed. The scene includes an object of interest that is in motion and that has a rounded shape. The one or more images are processed by detecting a rounded object that corresponds to the object of interest. Position information is determined based on a relative position of the rounded object in the one or more images. One or more processes are implemented that utilize the position information determined from the relative position of the rounded object. 1. A method for operating a computing device , the method being performed by one or more processors and comprising:processing one or more images of a scene captured by an image capturing device of the computing device, the scene including an object of interest that is in motion and having a characteristic rounded shape, wherein processing the one or more images includes detecting a rounded object that corresponds to the object of interest;determining position information based on a relative position of the rounded object in the one or more images; andimplementing one or more processes that utilize the position information determined from the relative position of the rounded object.2. The method of claim 1 , wherein implementing the one or more processes includes displaying claim 1 , on a display of the computing device claim 1 , a representation of the object of interest based on the determined position information.3. The method of claim 1 , wherein the object of interest corresponds to a self-propelled device having a rounded structural feature.4. The method of claim 3 , wherein the self-propelled device is spherical.5. The method of claim 1 , wherein detecting the rounded object includes applying a filter to each of the one or more images.6. The method of claim 5 , wherein the filter is a grayscale filter claim 5 , and wherein applying the filter includes ...

Method and system for calculating the geo-location of a personal device

The method comprises performing said calculation by using data provided by an image recognition process which identifies at least one geo-referenced image of an object located in the surroundings of said personal device. The system is arranged for implementing the method of the present invention.

SYSTEM AND METHOD FOR PRODUCING SYNTHETIC GOLDEN TEMPLATE IMAGE FOR VISION SYSTEM INSPECTION OF MULTI-LAYER PATTERNS

A system and method for generating golden template images in a vision system to inspect an acquired runtime image of an object with a multi-layer printed pattern is provided. The system and method performs a registration process on runtime images using registration models each trained on respective canonical layer mask images, and outputting poses. Based upon the poses, warped layer masks are generated. Combination masks are computed based upon differing combinations of the warped layer masks. Intensity values for pixels of the foreground regions for the combination masks are estimated. The estimated intensity values are then blended associated with the combination masks to generate a golden template image. This golden template image can be used to compare with a runtime image. An exemplary application of this system and method is in print inspection on flat and non-flat surfaces. 1. A method for generating golden template images in a vision system to inspect an acquired runtime image of an object with a multi-layer printed pattern comprising the steps of:performing a registration process on runtime images using registration models each trained on respective canonical layer masks, and outputting poses;based upon the poses, generating warped layer masks;computing combination masks based upon differing combinations of the warped layer masks;estimating intensity of regions for the combination masks; andblending the estimated intensity values associated with the combination masks to generate a golden template image.2. The method as set forth in wherein the step of estimating intensity includes estimating the intensity of an overall background region.3. The method as set forth in wherein the warped layer masks define a fuzzy edge that claim 1 , in turn claim 1 , provide combination masks with fuzzy edges in the step of computing.4. The method as set forth in wherein the warped layer masks are generated based upon distortion within a training image.5. The method as set ...

Method of Improving Orientation and Color Balance of Digital Images Using Face Detection Information

A method of generating one or more new spatial and chromatic variation digital images uses an original digitally-acquired image which including a face or portions of a face. A group of pixels that correspond to a face within the original digitally-acquired image is identified. A portion of the original image is selected to include the group of pixels. Values of pixels of one or more new images based on the selected portion are automatically generated, or an option to generate them is provided, in a manner which always includes the face within the one or more new images. Such method may be implemented to automatically establish the correct orientation and color balance of an image. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images. 1. A method of digital image processing using face detection for achieving desired luminance parameters for a face , comprising using a digital image acquisition device or external image processing device , or a combination thereof , that includes a processor that is programmed to perform the method , wherein the method comprises:identifying a group of pixels that correspond to a face within a digital image;identifying one or more sub-groups of pixels that correspond to one or more facial features of the face including at least one sub-group of pixels that substantially comprise one or more skin tones;determining initial luminance values of one or more luminance parameters of said pixels of the one or more sub-groups of pixels that substantially comprise one or more skin tones;determining at least one initial luminance parameter based on the initial luminance values; anddetermining adjusted values of the one or more luminance parameters of the pixels of the one or more sub-groups of pixels, including said at least one sub-group of pixels that substantially comprise one or more skin tones, based on a comparison of the initial luminance parameter with ...

METHOD AND APPARATUS FOR RECOGNIZING OBJECT MATERIAL

Provided is an apparatus for recognizing object material. The apparatus includes: an imaging camera unit for capturing spatial image including various objects in a space; an exploring radar unit sending an incident wave to the objects and receiving spatial radar information including a surface reflected wave from a surface of each of the objects and an internal reflected wave from the inside of each of the objects; an information storage unit for storing reference physical property information corresponding to a material of each object; and a material recognition processor recognizing material information of each object by using the reference physical property information stored in the information storage unit, the spatial image provided by the imaging camera unit, and the spatial radar information provided by the exploring radar unit. 1. An apparatus for recognizing object material , the apparatus comprising:an imaging camera unit for capturing spatial image including various objects in a space;an exploring radar unit sending an incident wave to the objects, and receiving spatial radar information including a surface reflected wave from a surface of each of the objects and an internal reflected wave from the inside of each of the objects;an information storage unit for storing reference physical property information corresponding to a material of each object; anda material recognition processor recognizing material information of each object by using the reference physical property information stored in the information storage unit, the spatial image provided by the imaging camera unit, and the spatial radar information provided by the exploring radar unit.2. The apparatus of claim 1 , wherein the incident wave is one of an electronic wave and a sound wave.3. The apparatus of claim 1 , further comprising a matching processor for matching spatial region corresponding to each other between the spatial image and the spatial radar information.4. The apparatus of claim ...

SITUATION RECOGNITION APPARATUS AND METHOD USING OBJECT ENERGY INFORMATION

A situation recognition apparatus and method analyzes an image to convert a position and motion change rate of an object in a space and an object number change rate into energy information, and then changes the energy information into entropy in connection with an entropy theory of a measurement theory of a disorder within a space. Accordingly, the situation recognition apparatus and method recognizes an abnormal situation in the space and issues a warning for the recognized abnormal situation. Therefore, the situation recognition apparatus and method recognizes an abnormal situation within a space, thereby effectively preventing or perceiving a real-time incident at an early stage. 1. A situation recognition apparatus using object energy information , comprising:an image receiving unit configured to receive a taken image;an object detection unit configured to detect an object by analyzing the received image;an object position information extraction unit configured to extract position information with the image for the detected object;an object motion information extraction unit configured to extract motion information within the image for the detected object;an object number change rate measurement unit configured to measure an object number change rate within the image for the detected object;an entropy calculation unit configured to convert a position change rate of the object, measured based on the position information, a motion change rate of the object, measured based on the motion information, and the object number change rate into energy information, and measure entropy of the converted energy information; anda situation recognition unit configured to recognize a situation within a space where the image was taken by associating a change rate of the entropy measured within the image with a risk policy.2. The situation recognition apparatus of claim 1 , wherein the object detection unit detects multiple objects claim 1 , andthe entropy calculation unit ...

SYSTEM AND METHOD FOR DETECTING AND TRACKING A CURVILINEAR OBJECT IN A THREE-DIMENSIONAL SPACE

A system for detecting and tracking a curvilinear object in a three-dimensional space includes an image acquisition system including a video camera arranged to acquire a video image of the curvilinear object and output a corresponding video signal, the video image comprising a plurality n of image frames each at a respective time t, where i=1, 2, . . . , n; and a data processing system adapted to communicate with the image acquisition system to receive the video signal. The data processing system is configured to determine a position, orientation and shape of the curvilinear object in the three-dimensional space at each time tby forming a computational model of the curvilinear object at each time tsuch that a projection of the computation model of the curvilinear object at each time ti onto a corresponding frame of the plurality of image frames of the video image matches a curvilinear image in the frame to a predetermined accuracy to thereby detect and track the curvilinear object from time tto time t. 1. A system for detecting and tracking a curvilinear object in a three-dimensional space , comprising:{'sub': 'i', 'an image acquisition system comprising a video camera arranged to acquire a video image of said curvilinear object and output a corresponding video signal, said video image comprising a plurality n of image frames each at a respective time t, where i=1, 2, . . . , n; and'}a data processing system adapted to communicate with said image acquisition system to receive said video signal,{'sub': i', 'i', 'i', '1', 'n, 'wherein said data processing system is configured to determine a position, orientation and shape of said curvilinear object in said three-dimensional space at each time tby forming a computational model of said curvilinear object at each time tsuch that a projection of said computation model of said curvilinear object at each time tonto a corresponding frame of said plurality of image frames of said video image matches a curvilinear image in ...

INFORMATION PROCESSING APPARATUS AND METHOD FOR CONTROLLING THE SAME

An information processing apparatus detects a moving member that moves in a background area and that includes an object other than a recognition target. The apparatus sets a partial area as a background undetermined area if the moving member is present in the background area and sets a partial area as a background determined area if it is regarded that the recognition target is not present in the background area in each of the partial areas set as the background undetermined area. The apparatus recognizes an operation caused by the recognition target that moves in the background determined area. 1. An information processing apparatus that can recognize an operation caused by a recognition target , comprising:a detection unit configured to detect a moving member moving in a background area and including an object other than the recognition target;a setting unit configured to set a partial area of partial areas constituting the background area as a background undetermined area if the moving member detected by the detection unit is present in the background area, and further configured to set a partial area as a background determined area if it is regarded that the recognition target is not present in the background area in each of the partial areas set as the background undetermined area; anda recognition unit configured to recognize an operation caused by the recognition target that moves in the background determined area.2. The information processing apparatus according to claim 1 , wherein the setting unit is configured to regard the background undetermined area as an area in which the recognition target is not present in the background if the moving member including an object other than the recognition target is stopped or if the moving member including an object other than the recognition target has disappeared.3. The information processing apparatus according to claim 1 , further comprising:a display control unit configured to display a display object in the ...

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

An image processing apparatus, includes: a processor coupled to a memory, configured to: detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation, correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, and concatenate the pair of images in which the local deformation is corrected into a single image. 1. An image processing apparatus , comprising:a processor coupled to a memory, configured to:detect corresponding relationships between lines of two or more pairs in a pair of images each having different local deformation,correct the local deformation of each of the pair of images, based on the corresponding relationships between the lines of the two or more pairs in the pair of images, andconcatenate the pair of images in which the local deformation is corrected into a single image.2. The image processing apparatus according to claim 1 , whereinthe processor is configured to correct the local deformation, in lines of one of the pair of images, when there are a plurality of lines corresponding to a same line in another of the images, by deleting, excluding one line, the plurality of lines corresponding to the same line of the other of the images, based on the corresponding relationships between the lines.3. The image processing apparatus according to claim 1 , whereinthe processor is configured to correct the local deformation by performing processing to change, in an area defined by a first pair of adjacent lines on one of the pair of images, an interval between the first pair of lines so that the interval matches an interval between a second pair of lines in an area defined by the second pair of lines corresponding to the first pair of lines in the other of the images, based on the corresponding relationships between the lines.4. The image processing apparatus according to claim 1 , ...

COMPRESSIVE SENSING BASED BIO-INSPIRED SHAPE FEATURE DETECTION CMOS IMAGER

A CMOS imager integrated circuit using compressive sensing and bio-inspired detection is presented which integrates novel functions and algorithms within a novel hardware architecture enabling efficient on-chip implementation. 1. A compressive sensing-based bio-inspired shape feature detection imager circuit comprising a plurality of circuits operatively coupled to one another , the plurality of circuits comprising:an active pixel sensor array configured to collect an image in an original space and generate an analog representation of the collected image;a bio-inspired shape feature compressive sensing projection matrix circuit configured to project the analog representation of the collected image simultaneously onto each target bio-inspired feature of a set of target bio-inspired features and map the projected image from an original space to a compressive sensing space, and generate i) correlation data of the projected image in the compressive sensing space to the set of target bio-inspired features, and ii) reference position data in the original space for the collected image;a target detection and location circuit configured to process the correlation data and the reference position data to identify a potential target in the collected image from amongst the set of target bio-inspired features;a compressive sensing sampling data array circuit configured to process the projected image in the compressive sensing space to recover a digital representation of the collected image in the original space, and generate position and identity information of an identified potential target within the recovered collected image in the original space; andan adaptive target extraction circuit configured to track the identified potential target in a next collected image and extract a corresponding new feature from the next collected image to add to the set of target bio-inspired features.2. The imager circuit of claim 1 , wherein the analog representation of the collected image ...

Apparatus and methods for use in flash detection

The present embodiments provide methods, systems and apparatuses that detect, classify and locate flash events. In some implementations, some of the methods detect a flash event, trigger an imaging system in response to detecting the flash event to capture an image of an area that includes the flash event, and determines a location of the flash event.

SYSTEM OF A DATA TRANSMISSION AND ELECTRICAL APPARATUS

A system for data transmission includes a first electrical device displaying video data, a second electrical device having an image capture unit for taking pictures for the first electrical device to generate a first output image, and a server storing electrical device data and pre-stored multimedia data, recognizing the video data displayed on the first electrical device according to the first output image, and transmitting the video data to the second electrical device. 1. A data transmission system , comprising:a first electrical device, displaying a video data;a second electrical device, having an image capture unit for taking pictures for the first electrical device to generate a first output image; anda server, storing a plurality of electrical device data and pre-stored multimedia data bases, recognizing the first electrical device and the video data displayed on the first electrical device according to the first output image, and transmitting the video data to the second electrical device.2. The data transmission system of claim 1 , wherein the server searches the electrical device data according to the first output image for determining whether the first electrical device is registered in the server claim 1 , if the first electrical device is registered in the server and the video data is stored in the pre-stored multimedia data bases claim 1 , the server transmits the video data from the pre-stored multimedia data base to the second electrical device.3. The data transmission system of claim 2 , wherein if the first electrical device is not registered in the server claim 2 , the server searches the pre-stored multimedia data bases according to the first output image for determining whether the pre-stored multimedia data bases comprise a multimedia data as the same as the video data displayed on the first electrical device claim 2 , and if the pre-stored multimedia data bases comprise the multimedia data as the same as the video data displayed on the first ...

SETTING APPARATUS AND SETTING METHOD

A setting apparatus for making a setting to detect that a moving object in an image has passed a line set in the image accepts designation of one of a position and a partial region in an object region in the image, and makes a setting to detect that the designated position or partial region in the object region of the moving object in the image has passed the line set in the image. 1. A setting apparatus for making a setting to detect that a moving object in an image has passed a line set in the image , comprising:an acceptance unit configured to accept designation of one of a position and a partial region in an object region in the image; anda setting unit configured to make a setting to detect that one of the position and the partial region designated by the designation in the object region of the moving object in the image has passed the line set in the image.2. The apparatus according to claim 1 , whereinsaid acceptance unit accepts designation of one of a plurality of positions in a region having a predetermined shape.3. The apparatus according to claim 1 , whereinsaid acceptance unit accepts designation of one of vertices of an object region having a polygonal shape.4. The apparatus according to claim 1 , further comprisinga display unit configured to display, on a display screen for displaying an image, a display element indicating the object region of the moving object in the image and information indicating the position designated by the designation in the object region of the moving image in the image.5. The apparatus according to claim 1 , whereinsaid acceptance unit accepts designation of one of a position and a partial region in the object region in the image, and a direction in which the moving object in the image passes the line set in the image, andsaid setting unit makes a setting to detect that one of the position and the partial region designated by the designation in the object region of the moving object in the image has passed the line set in ...

Nail Region Detection Method, Program, Storage Medium, and Nail Region Detection Device

Disclosed is a nail region detection device including: colour camera; image data storage part; colour specification conversion plotting part for converting captured image data from the RGB colour specification system to the HLS colour specification system; a-threshold value setting part for setting and varying a threshold value along the X axis with respect to a first plotting region; second plotting part for replotting in a two-dimensional planar second graph, plotting data items which are equal to or greater than the threshold value and detecting the physical quantity or its ratio in a plurality of second plotting regions in the second graphregion; repeat control part for repeating the processing for replotting the data items; nail determination part for determining, as a nail region, a second plotting region in which the gradient of the amount of variation in the physical quantity or its ratio is equal to or less than a predetermined value. 1. A nail region detection method comprising at least:repeating, several times, a step of mapping a first plotting region, which is obtained by plotting and converting the image data of a hand image captured by a colour camera in a three-dimensional colour spatial first graph, in a two-dimensional planar second plotting region, while varying a threshold value in line with a value along one axis of the three-dimensional colour space;detecting at least one physical quantity or its ratio in the two-dimensional planar second plotting region at each of the mapping steps; anddetermining, as a nail region, the second plotting region, in which the gradient of the amount of variation, when the physical quantity or its ratio is varied at each of the mapping steps, is less than a predetermined vale.2. A nail region detection method comprising:a first step of converting data on an image containing the user's hand captured by a color camera from a colour specification system used by the color camera to a predetermined colour specification ...

SENSING DEVICE AND METHOD USED FOR VIRTUAL GOLF SIMULATION APPARATUS

Disclosed are a sensing device and method used for a virtual golf simulation apparatus in which an image acquired by an inexpensive camera having a relatively low resolution and velocity is analyzed to relatively accurately extract information on physical properties, such as velocity, direction and altitude angle, of a moving ball, and, particularly, in which the moving trajectory of a golf club is relatively accurately calculated from the acquired image to relatively accurately estimate spin of the ball and to reflect the estimated spin of the ball in golf simulation, thereby constituting a virtual golf simulation apparatus having high accuracy and reliability at low costs and further improving reality of virtual golf. 1. A sensing device used in a virtual golf simulation apparatus , comprising:a camera unit for acquiring a plurality of frame images of a ball hit by a user who swings at the ball; anda sensing processing unit comprising a ball image processing means for extracting the ball from each of the frame images to obtain three-dimensional coordinates of the ball and a club image processing means for extracting a moving object of interest from each of the acquired frame images to calculate a moving trajectory of a golf club head from the object of interest, thereby calculating information on physical properties of the moving ball.2. The sensing device according to claim 1 , wherein the club image processing means is configured to receive an image from the ball image processing means and process the received image from which the ball claim 1 , extracted from each image processed by the ball image processing means claim 1 , has been removed.3. The sensing device according to claim 1 , further comprising a hitting sensing means for processing each of the images received from the camera unit to sense whether hitting has been performed by the user claim 1 , thereby confirming impact time.4. The sensing device according to claim 3 , whereinthe ball image processing ...

IMAGE PROCESSING DEVICE, OBJECT SELECTION METHOD AND PROGRAM

There is provided an image processing device including: a data storage unit that stores object identification data for identifying an object operable by a user and feature data indicating a feature of appearance of each object; an environment map storage unit that stores an environment map representing a position of one or more objects existing in a real space and generated based on an input image obtained by imaging the real space using an imaging device and the feature data stored in the data storage unit; and a selecting unit that selects at least one object recognized as being operable based on the object identification data, out of the objects included in the environment map stored in the environment map storage unit, as a candidate object being a possible operation target by a user. 1. An image processing device comprising:an imaging unit configured to output an image generated by imaging a real space;a generating unit configured to generate an environment map representing a position of one or more objects existing in the real space based on the image and a feature data indicating a feature of appearance of each object; anda selecting unit configured to select at least one operable object recognized as being operable based on the object identification data as a candidate object being a possible operation target by a user.2. The image processing device according to claim 1 , further comprising:an image output unit configured to generate an output image including an indication of the position of the candidate object from the input image.3. The image processing device according to claim 1 , further comprising:a device recognizing unit configured to recognize at least one operable object based on the image and the object identification data,wherein the at least one operable object is recognized by the device recognizing unit.41. The image processing device according to claim claim 1 , further comprising:a user interface for allowing the user to specify an object ...

VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND RECORDING MEDIUM

A video processing apparatus includes: a first detection unit configured to detect a moving object from a movie; a second detection unit configured to detect an object having a predetermined shape from the movie; an extraction unit configured to extract a partial region of a region in which the second detection unit has detected the object having the predetermined shape in the movie; and a discrimination unit configured to discriminate whether the object detected by the second detection unit is a certain object depending on a ratio of a size of an overlapping region to a size of an extracted region extracted by the extraction unit, the overlapping region being a region where a region in which the first detection unit has detected the moving object in the movie and the extracted region overlap with each other. 1. A video processing apparatus comprising:a first detection unit configured to detect a moving object from a movie;a second detection unit configured to detect an object having a predetermined shape from the movie;an extraction unit configured to extract a partial region of a region in which the second detection unit has detected the object having the predetermined shape in the movie; anda discrimination unit configured to discriminate whether the object detected by the second detection unit is a certain object depending on a ratio of a size of an overlapping region to a size of an extracted region extracted by the extraction unit, the overlapping region being a region where a region in which the first detection unit has detected the moving object in the movie and the extracted region overlap with each other.2. The video processing apparatus according to whereinthe discrimination unit discriminates that the object, which has the predetermined shape and which has been detected by the second detection unit, as the certain object if the ratio of the size of the overlapping region to the size of the extracted region is a predetermined ratio or more.3. The video ...

DEVICE FOR MONITORING A VEHICLE PARKING SPACE

The invention relates to a device for monitoring a parking space () for a vehicle (), comprising a camera unit () assigned to the parking space () and mounted thereon to record a picture of a frontal license plate () of the vehicle (), a lighting unit () assigned to the parking space () and mounted thereon to project a light fan () lying in an approximately vertical plane along a boundary of the parking space () as a surface marking (), wherein the camera unit () lies approximately in the plane of the light fan () and has an opening angle (a) which covers both the surface marking () and the license plate (). 1. A device for monitoring a parking space for a vehicle , comprising:a camera unit assigned to the parking space and to be mounted thereon to record a picture of a frontal license plate of the vehicle, anda lighting unit assigned to the parking space and to be mounted thereon for projecting a light fan lying in a substantially vertical plane along a boundary of the parking space as a surface marking,wherein the camera unit lies substantially in the plane of the light fan such that by means thereof an interruption or shadowing of the surface marking is detectable, and has an opening angle which covers both the surface marking and the license plate.2. The device according to claim 1 , characterized in that the light fan projected by the lighting unit is in the visible wavelength range.3. The device according to claim 1 , characterized in that the camera unit is mounted at a height between 10 and 120 cm.4. The device according to claim 1 , characterized in that the lighting unit is mounted above the camera unit.5. The device according to claim 1 , characterized in that the camera unit is configured to OCR-read a vehicle license plate number from the license plate.6. A parking lot with a plurality of parking spaces for vehicles claim 1 , each parking space comprising:a camera unit assigned to the parking space and mounted thereon to record a picture of a frontal ...

Methods and Systems for Estimation of Document Skew in an Image

Aspects of the present invention are related to systems and methods for determining a skew angle associated with a document image. According to a first aspect of the present invention, a rotation vector may be estimated for at least one layer in a vertical-edge buffer and a horizontal-edge buffer. According to a second aspect of the present invention, a rotation vector may be estimated directly from the vertical-edge buffer and the horizontal-edge buffer using a fixed-sized, progressively constrained histogram. 1. A system for determining a skew angle associated with a scanned document page , said system comprising:an edge-buffer generator for generating, from a normalized image associated with a scanned document page, a vertical-edge buffer and a horizontal-edge buffer;a layer processor for processing a current layer of said vertical-edge buffer and said horizontal-edge buffer, thereby generating a current rotation vector associated with said current layer; anda rotation-estimate selector for selecting a rotation vector estimate from a group of rotation vectors comprising said current rotation vector, wherein said rotation vector estimate is associated with a skew angle associated with said scanned document page.2. A system as described in further comprising:an image receiver for receiving an input image associated with said scanned document page; andan image preprocessor for generating said normalized image from said received input image.3. A system as described in claim 2 , wherein said image preprocessor comprises:a down-sampler; anda color-to-grayscale converter.4. A system as described in claim 1 , wherein said edge-buffer generator comprises:a vertical-strip summary-measure calculator for calculating a summary measure associated with each vertical strip in a plurality of vertical strips in said normalized image, thereby producing a vertical-strip buffer;a horizontal-strip summary-measure calculator for calculating a summary measure associated with each ...

IMAGE PICKUP APPARATUS CAPABLE OF SHOOTING AT HIGH FRAME RATE, CONTROL METHOD THEREFOR, AND STORAGE MEDIUM

An image pickup apparatus which is capable of obtaining a high-quality image at high speed even when frame rate is high. A frame rate control unit controls frame rate for the shooting. An image decimation unit samples a plurality of images at predetermined time intervals and selects at least two images among the plurality of images as decimation images. A moving vector detection unit detects a moving vector indicative of a moving direction and a moving amount of a subject between the decimation images. A decimation control unit changes decimation conditions according to an absolute value of the moving vector output from the moving vector detection unit. A synthesizing unit aligns the plurality of images based on the output from the moving vector detection unit and then synthesizes the aligned plurality of images to obtain the composite image. 1. An image processing apparatus that aligns a plurality of images , which are obtained by continuously shooting a subject , and then synthesizes the plurality of images to obtain a composite image , comprising:an image decimation unit configured to sample the plurality of images at predetermined time intervals and select at least two images among the plurality of images as decimation images;a moving vector detection unit configured to detect a moving vector, which is indicative of a moving direction and a moving amount of the subject, between the decimation images;a decimation control unit configured to change decimation conditions, on which said image decimation unit performs the sampling, according to an absolute value of the moving vector which is an output from said moving vector detection unit; anda synthesizing unit configured to align the plurality of images based on the output from said moving vector detection unit and then synthesize the aligned plurality of images to obtain the composite image.2. The image processing apparatus according to claim 1 , further comprising a pixel decimation unit configured to claim 1 , ...

OBJECT DETECTION APPARATUS AND CONTROL METHOD THEREOF, AND STORAGE MEDIUM

The object detection apparatus prevents or eliminates detection errors caused by changes of an object which frequently appears in a background. To this end, an object detection apparatus includes a detection unit which detects an object region by comparing an input video from a video input device and a background model, a selection unit which selects a region of a background object originally included in a video, a generation unit which generates background object feature information based on features included in the background object region, and a determination unit which determines whether or not the object region detected from the input video is a background object using the background object feature information. 1. An object detection apparatus comprising:a video input unit configured to input a video;an object region detection unit configured to detect an object region by comparing the input video and a background model;a selection unit configured to select a region of a background object originally included in a video;a generation unit configured to generate background object feature information based on features included in the background object region; anda determination unit configured to determine whether or not the object region detected from the input video is a background object using the background object feature information.2. The apparatus according to claim 1 , wherein the background object feature information is a statistical amount based on feature amounts extracted from the background object region.3. The apparatus according to claim 2 , wherein the feature amounts are feature amounts according to a scene to be applied.4. The apparatus according to claim 1 , wherein said selection unit selects the background object region based on a background object region selection rule corresponding to a scene to be applied.5. The apparatus according to claim 4 , wherein the background object region selection rule is based on duration since the object region ...

VIDEO OBJECT FRAGMENTATION DETECTION AND MANAGEMENT

Disclosed herein are a computer-implemented method and a camera system for determining a current spatial representation for a detection in a current frame of an image sequence. The method derives an expected spatial representation () for the detection based on at least one previous frame, generates a spatial representation () of the detection, and extends the spatial representation () to obtain an extended spatial representation (), based on the expected spatial representation (). The method determines a similarity measure between the extended spatial representation () and the expected spatial representation (), and then determines the current spatial representation for the detection based on the similarity measure. 1deriving an expected spatial representation for said detection based on at least one previous frame;generating a spatial representation of said detection;extending said spatial representation to obtain an extended spatial representation, based on the expected spatial representation;determining a similarity measure between said extended spatial representation and said expected spatial representation; anddetermining the current spatial representation for the detection based on said similarity measure.. A computer-implemented method of determining a current spatial representation for a detection in a current frame of an image sequence, said method comprising the steps of: This application is a Continuation of U.S. application Ser. No. 12/645,611, filed on Dec. 23, 2009, and allowed on Aug. 1, 2013, which claims the right of priority under 35 U.S.C. §119 based on Australian Patent Application No. 2008261195 entitled “Video Object fragmentation detection and management”, filed on 23 Dec. 2008 in the name of Canon Kabushiki Kaisha, and Australian Patent Application No. 2008261196 entitled “Backdating object splitting”, filed on 23 Dec. 2008 in the name of Canon Kabushiki Kaisha, the entire contents of which are incorporated herein by reference.The present ...

IMAGE STATION MATCHING, PREPROCESSING, SPATIAL REGISTRATION AND CHANGE DETECTION WITH MULTI-TEMPORAL REMOTELY-SENSED IMAGERY

A method for collecting and processing remotely sensed imagery in order to achieve precise spatial co-registration (e.g., matched alignment) between multi-temporal image sets is presented. Such precise alignment or spatial co-registration of imagery can be used for change detection, image fusion, and temporal analysis/modeling. Further, images collected in this manner may be further processed in such a way that image frames or line arrays from corresponding photo stations are matched, co-aligned and if desired merged into a single image and/or subjected to the same processing sequence. A second methodology for automated detection of moving objects within a scene using a time series of remotely sensed imagery is also presented. Specialized image collection and preprocessing procedures are utilized to obtain precise spatial co-registration (image registration) between multitemporal image frame sets. In addition, specialized change detection techniques are employed in order to automate the detection of moving objects. 1. A method for aligning multi-temporal airborne , satellite , or ground-based remotely sensed imagery , the method comprising:(a) capturing a first image from a location at a first time point;(b) capturing a second image from about the same location at a second time point;(c) matching points on the second image that correspond to points on the first image; and(d) applying a transformation to the second image based on the matching points to align the second image to the first image, wherein at least one of steps (a) through (d) are performed by a processor.2. The method of claim 1 , wherein three points or more are matched between the first image and the second image.3. The method of claim 1 , wherein the transformation comprises a warping transformation or image orthorectification technique.4. The method of claim 3 , wherein the warping transformation comprises a projective or second-order polynomial.5. The method of claim 1 , wherein the first time ...

OBJECT DETECTION SYSTEM AND COMPUTER PROGRAM PRODUCT

According to an embodiment, an object detection system includes an obtaining unit, an estimating unit, a setting unit, a calculating unit, and a detecting unit. The obtaining unit is configured to obtain an image in which an object is captured. The estimating unit is configured to estimate a condition of the object. The setting unit is configured to set, in the image, a plurality of areas that have at least one of a relative positional relationship altered according to the condition and a shape altered according to the condition. The calculating unit is configured to calculate a feature value of an image covering the areas. The detecting unit is configured to compare the calculated feature value with a feature value of a predetermined registered object, and detect the registered object corresponding to the object. 1. An object detection system comprising:an obtaining unit configured to obtain an image in which an object is captured;an estimating unit configured to estimate a condition of the object;a setting unit configured to set, in the image, a plurality of areas that have at least one of a relative positional relationship altered according to the condition and a shape altered according to the condition;a calculating unit configured to calculate a feature value of an image covering each area; anda detecting unit configured to compare the calculated feature value with a feature value of a predetermined registered object, and detect the registered object corresponding to the object.2. The system according to claim 1 , wherein the calculating unit calculates brightness gradients between a plurality of areas claim 1 , and calculates the feature value that is the statistics of the calculated brightness gradients.3. The system according to claim 2 , wherein the calculating unit alters a method of calculating the statistics according to the condition.4. The system according to claim 2 , wherein the calculating unit further calculates color feature values of the areas ...

COLLECTING INFORMATION RELATING TO IDENTITY PARAMETERS OF A VEHICLE

The present invention discloses methods and systems for collecting information relating to identity parameters of a vehicle. According to the invention an image of the vehicle is obtained. A sub-image within the image is identified, interest points within the sub-image are detected and the sub-image is processed so as to obtain descriptors representing the interest points. The descriptors are matched to predetermined descriptors representing interest points in previously obtained images respective of known identity parameters and the information is stored in a record representing an identity of the vehicle. 118.-. (canceled)19. A method comprising:obtaining one or more images of a vehicle;detecting one or more interest points within at least one of the one or more images;for at least one of the one or more interest points, processing the at least one of the one or more images to determine one or more descriptors, the one or more descriptors comprising one or more representations of the at least one of the one or more interest points;matching, with a processor, at least one of the one or more of the descriptors to one or more templates, each of the one or more templates comprising one or more descriptors determined in relation to one or more previously obtained images;calculating a confidence measure of a match between the at least one of the one or more of the descriptors and at least one of the one or more of the templates; andidentifying one or more identity parameters of the vehicle based on the confidence measure.20. The method of claim 19 , further comprising processing the at least one of the one or more images to produce at least one sub-image claim 19 , the at least one sub-image comprising an area of the at least one of the one or more images that contains at least one of the one or more identity parameters of the vehicle.21. The method of claim 20 , wherein detecting one or more interest points comprises detecting one or more interest points that relates ...

DISPLAY APPARATUS AND DISPLAY METHOD

A display apparatus includes a sight line detection unit that detects a line of sight of a user by analyzing user video information, an enhancement processing unit that detects an intersection point of the line of sight of the user detected by the sight line detection unit and a video display surface of a monitor as an attention point, which is a point on which the user focuses attention, and performs enhancement processing for the monitor by setting a higher gain amount in stages from a position of a longer distance from the attention point toward a position of a smaller distance, and a display video output control unit that outputs video via the monitor based on the gain amount set by the enhancement processing unit and display video information whose input is received by a display video information input unit. 1. (canceled)2. An apparatus comprising:a user video information input unit that receives input of user video information, which is acquired by a camera and video information of a user watching video displayed in a monitor;a sight line detection unit that detects a line of sight of the user by analyzing the user video information whose input is received by the user video information input unit; andan enhancement processing unit that detects an intersection point of the line of sight of the user detected by the sight line detection unit and a video display surface of the monitor as an attention point and performs enhancement processing for the monitor by setting a higher gain amount in stages from a position of a longer distance from the attention point toward a position of a smaller distance,wherein said enhancement processing unit obtains a respective attention point for each detected user of a number of users detected as currently watching the video displayed in the monitor and performs the enhancement processing with regard thereto to obtain a respective gain amount for said each detected user and superimposes gain amounts for all detected users by ...

IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND A COMPUTER READABLE MEDIUM

An image processing device selects an image in which sharpness of a photographic subject is relatively high compared with sharpness of a background. The image processing device includes a photographic subject detection unit that identifies a photographic subject region on an image, which includes a predetermined photographic subject, by detecting the predetermined photographic subject from the image, a background region identifying unit that identifies a background region on the image, which is other than the photographic subject region, a sharpness identifying unit that identifies sharpness of the photographic subject region and sharpness of the background region, a score calculation unit that calculates a score based on a difference in the sharpness between the photographic subject region and the background region, and a determination unit which determines the image as an optimum image when the score indicates that photographic subject region is clearer than the background region. 1. An image processing device for selecting an image , the image processing device comprising:a detection part configured to detect a predetermined photographic subject from an image;a photographic subject region identifying part configured to identify a photographic subject region that is a region on the image, the region including the predetermined photographic subject detected by the detection part;a background region identifying part configured to identify a background region that is a region on the image, the region being other than the photographic subject region identified by the photographic subject region identifying part;a sharpness identifying part configured to identify sharpness of the photographic subject region and sharpness of the background region;a score calculation part configured to calculate a score, based on a difference between the sharpness of the photographic subject region and the sharpness of the background region; anda determination part configured to ...

INTERACTION SYSTEM AND MOTION DETECTION METHOD

A motion detection method applied in an interaction system is provided. The method has the following steps of: retrieving a plurality of images; recognizing a target object from the retrieved images; calculating a first integral value of a position offset value of the target object along a first direction from the retrieved images; determining whether the calculated first integral value is larger than a first predetermined threshold value; and determining the target object as moving when the calculated first integral value is larger than the first predetermined threshold value. 1. A motion detection method applied in an interaction system , comprising:retrieving a plurality of images;recognizing a target object from the retrieved images;calculating a first integral value of a position offset value of the target object along a first direction from the retrieved images;determining whether the calculated first integral value is larger than a first predetermined threshold value; anddetermining the target object as moving when the calculated first integral value is larger than the first predetermined threshold value.2. The motion detection method as claimed in claim 1 , further comprising:generating a plurality of corresponding depth images from the retrieved images;determining a corresponding depth value of the target object according to the corresponding depth images; andtransforming the corresponding depth value to a position of the target object in a depth direction.3. The motion detection method as claimed in claim 2 , wherein the step of calculating the integral value further comprises:calculating a respective candidate position offset value of the target object in a horizontal direction, a vertical direction and the depth direction from the retrieved images;calculating a largest position offset value from the respective candidate position offset value corresponding to the horizontal direction, the vertical direction and the depth direction; anddetermining the ...

METHOD FOR REGISTERING AT LEAST ONE PART OF A FIRST AND SECOND IMAGE USING A COLLINEATION WARPING FUNCTION

The invention is related to a method for registering at least one part of a first image and of a second image, including the steps of providing a first image of the real environment and a coordinate system associated to the first image, a second image of the real environment, and measurements of orientation and/or distance of a capturing device with respect to the real environment while capturing the second image. A collineation warping function is then determined from the measurements associated to at least one part of the second image. The method further includes the steps of transforming the at least one part of the second image by applying the corresponding determined collineation warping function, determining a second warping function for registering the transformed at least one part of the second image and the at least one part of the first image by means of an image registration method, and registering the at least one part of the second image and first image using the collineation warping function and the second warping function. 1. A method for registering at least one part of a first image and at least one part of a second image , comprising the steps of:a. providing a first image of the real environment and a coordinate system associated to the first imageb. providing a second image of the real environmentc. providing measurements of orientation and/or distance of a capturing device with respect to the real environment while capturing the second image;d. determining a collineation warping function from the measurements associated to at least one part of the second image;e. transforming the at least one part of the second image by applying the corresponding determined collineation warping function;f. determining a second warping function for registering the transformed at least one part of the second image and the at least one part of the first image by means of an image registration method; andg. registering the at least one part of the second image and ...

ANALYZING A SEGMENT OF VIDEO

There is disclosed a quick and efficient method for analyzing a segment of video, the segment of video having a plurality of frames. A reference portion is acquired from a reference frame of the plurality of frames. Plural subsequent portions are then acquired from a corresponding subsequent frame of the plurality of frames. Each subsequent portion is then compared with the reference portion, and an event is detected based upon each comparison. There is also disclosed a method of optimizing video including selectively storing, labeling, or viewing video based on the occurrence of events in the video. Furthermore, there is disclosed a method for creating a video summary of video which allows a used to scroll through and access selected parts of a video. The methods disclosed also provide advancements in the field of video surveillance analysis. 1. A method of analyzing a segment of video comprising a plurality of frames , the method comprising:acquiring a reference portion from a reference frame of the plurality of frames;acquiring plural subsequent portions, each subsequent portion being acquired from a corresponding subsequent frame of the plurality of frames;comparing each subsequent portion with the reference portion; anddetecting an event based upon the comparison of the subsequent portions with the reference portion.2. The method of wherein the steps of acquiring the reference portion and the subsequent portions comprise acquiring multiple portions of each respective frame.3. The method of wherein the reference portion is acquired from a location on the reference frame claim 1 , and each subsequent portion is acquired from the same location on the corresponding subsequent frame.4. The method of wherein detecting an event comprises detecting a plurality of events based on the comparison of the subsequent portions with the reference portion.5. The method of wherein the step of comparing each subsequent portion with each respective reference portion comprises ...

MOTION-CONTROLLED ELECTRONIC DEVICE AND METHOD THEREFOR

An electronic device obtains a motion of a displaced object in two captured video frames utilizing phase correlation of the two frames. The electronic device identifies a magnitude of the motion and an area in a phase correlation surface corresponding to an area of the object, and accordingly determines if the motion is a qualified motion operable to trigger a gesture command of the electronic device. The phase correlation surface is obtained from the phase correlation of the two frames. 1. A motion-controlled electronic device comprising:a memory operable to store a sequence of video frames captured by an image capture device connected to the electronic device; and selecting two distinct frames from the sequence of video frames;', 'executing phase correlation on the two distinct frames;', 'storing normalized phase correlation values of the two distinct frames as a result of the phase correlation in a phase correlation image in the memory, wherein the phase correlation image records the normalized phase correlation values in a two-dimensional coordination space and is representative of a three-dimensional phase correlation surface in a three-dimensional coordination space spanned by axes of the two-dimensional coordination space and an axis representing scales of the normalized phase correlation values;', 'locating a peak of the three-dimensional phase correlation surface;', 'obtaining a motion of an object in the two distinct frames based on a location of the peak, wherein the peak reflects the motion;', 'identifying the motion as a qualified motion based on a magnitude of the motion and a cross-sectional area of the peak; and', 'activating a function of the electronic device in response to the qualified motion., 'a processor electrically connected to the memory, and operable to execute an operating method for the electronic device, wherein the method comprises2. The electronic device as claimed in claim 1 , wherein the motion starts from a center of the phase ...

IMAGE DISPLAY APPARATUS AND IMAGE DISPLAY METHOD

An image display apparatus is provided that can obtain a stable and easy to view detection frame and cut-out image in a captured image in which there is a possibility that a congested region and a non-congested region are mixed, such as an omnidirectional image. Congested region detecting section detects a congested region in a captured image by detecting a movement region of the captured image. Object detecting section detects images of targets in the captured image by performing pattern matching. Detection frame forming section forms a congested region frame that surrounds a congested region detected by congested region detecting section, and object detection frame that surround image of target detected by object detecting section. 110-. (canceled)11. An image display apparatus , comprising:a congested region detecting section that detects a congested region in a captured image by detecting a movement region of the captured image;an object detecting section that detects an image of a target in the captured image by performing pattern matching; anda detection frame forming section that forms a congested region frame that surrounds the congested region detected by the congested region detecting section, or an object detection frame that surround the image of the target detected by the object detecting section,wherein the captured image is an omnidirectional image, wherein, when a distance between the targets in a circumferential direction on the omnidirectional image is less than or equal to a predetermined value, the detection frame forming section forms the congested region frame, or when a distance between the targets in the circumferential direction on the omnidirectional image is more than the predetermined value, the detection frame forming section forms the object detection frame.12. The image display apparatus according to claim 11 , further comprising an image cutting-out section that cuts out an image of a region that is surrounded by the congested region ...

DEVICE AND METHOD FOR DETECTING PLANTATION ROWS

A device and method for identifying plant rows in a field represented by an image is provided. The plant rows may be identified using the frequency domain. The plant rows may further be identified using information regarding plant positions. Additionally, plant rows may be obtained by any appropriate method and analyzed to differentiate between planted and non-planted rows. Further, plant rows may be segmented according to predefined classifications or attributes thereof, wherein the classification/attributes may derived from an image of the area in which the plant rows are found and/or using any other appropriate method. 1. A method comprising:producing a frequency domain representation of a digital image comprising plants and identifying at least one desired patch in said frequency domain representation, according to predefined frequency characteristics of said desired patch;removing all frequencies outside said desired patch to obtain a masked frequency domain; andreverse transforming, by a computing device, said masked frequency domain to obtain a reverse transformed image comprising spatial elements representing plant rows corresponding to said desired patch; at least one dominant frequency value;', 'at least one predefined frequency characteristic corresponding to at least one predefined spatial characteristic relating to at least one attribute of said plants; or', 'any combination thereof,, 'wherein said predefined frequency characteristics compriseand wherein the attribute of said plant is planted row spacing, spacing between plants on the same row, direction of plant rows, typical row samples manually marked on the aerial image providing any of the above attributes, or any combination thereof.2. The method according to claim 1 , further comprising:stretching said reverse transformed image to obtained a stretched image;converting said stretched image to a single band image comprising black connected pixel components; andtransforming said black connected ...

MAPPING EFFICIENCY BY SUGGESTING MAP POINT'S LOCATION

A method and apparatus of mapping efficiency by suggesting map points location includes receiving data at a machine, the data including a plurality of signals received during the performance of a triangulation to locate a focal tachycardia, generating, by the machine, a prediction model as to the location of the focal tachycardia, and modifying, by the machine, the prediction model based upon additional data received by the machine. 1. A method of mapping efficiency by suggesting map points location , comprising:receiving data at a machine, the data including a plurality of signals received during the performance of a triangulation to locate a focal tachycardia;generating, by the machine, a prediction model as to the location of the focal tachycardia; andmodifying, by the machine, the prediction model based upon additional data received by the machine.2. The method of wherein local activation points (LATs) are used to estimate the focal point in a triangle.3. The method of wherein the data is anatomy (FAM/CT) data and LAT points acquired by a Carto machine.4. The method of wherein the data includes an ablation location of a focal/termination indication by a physician or a coherent map.5. The method of wherein the data is described at each stage by a single LAT point (position & activation).6. The method of wherein the location of a next best point to sample over an anatomy is represented as coordinates in space.7. The method of claim 1 , further comprising learning and using similarities in patients to further provide a more accurate prediction for a physician.8. The method of wherein the data includes information based on a specific disease.9. The method of claim 1 , wherein the data in an input space is divided into grid sampled voxels with each voxel including the electrical activation signals measured inside the voxel.10. A system for focal point location claim 1 , the system comprising:a plurality of inputs;a first converter that converts at least a first ...