СИСТЕМА КОНТРОЛЯ ЛЕТАТЕЛЬНОГО АППАРАТА

Группа изобретений относится к системе контроля летательного аппарата, системе контроля напряжения в летательном аппарате, способу контроля перемещения конструкции летательного аппарата. Система контроля содержит мишени на крыльях летательного аппарата, создаваемые системой камер, блок контроля перемещения мишеней. Система контроля напряжений содержит изображения (эллиптические мишени), создаваемые системой камер на крыле летательного аппарата, блок контроля для измерения перемещений крыла. Для осуществления способа с помощью системы камер создают изображения (мишени) на крыле летательного аппарата, измеряют перемещения мишеней во время эксплуатации летательного аппарата для контроля допустимых значений перемещений. Обеспечивается контроль допустимых нагрузок на крыло летательного аппарата. 3 н. и 21 з.п. ф-лы, 14 ил.

Способ, устройство и терминал для формирования видеоэффектов

Изобретение относится к области компьютерных технологий, в частности к средствам и способам для формирования видеоэффектов. Технический результат заключается в повышении эффективности формирования видеоэффектов. Технический результат достигается за счет получения инструкции по формированию видеоэффектов; выполнения формирования видеоэффектов ускоренного или замедленного движения на видеоматериале, подлежащем обработке, в соответствии с инструкцией по формированию видеоэффектов во время воспроизведения видеоматериала, подлежащего обработке, при этом формирование видеоэффекта замедленного и ускоренного движения включает осуществление определения количества движения на видеоматериале, подлежащем обработке, в соответствии с инструкцией по формированию видеоэффектов, и получение абсолютных величин векторов движения всех предварительно настроенных блоков в каждом видеокадре видеоматериала, подлежащего обработке. 2 н. и 14 з.п. ф-лы, 12 ил.

УСТРОЙСТВО И СПОСОБ ДЛЯ ОПРЕДЕЛЕНИЯ ОБЪЕКТОВ

Изобретение относится к области измерений. Техническим результатом является повышение точности определения объектов на основе данных от радара. Устройство содержит модуль получения данных, выполненный с возможностью получения данных от одного или более радаров, установленных на транспортном средстве, причем получаемые данные включают в себя координаты цели, уровень отраженного сигнала и радиальную скорость цели и модуль обработки и анализа данных, выполненный с возможностью кластеризации полученных данных и определения кластера в качестве кандидата в объекты, если он не имеет ассоциации ни с одним из уже отслеживаемых объектов, при этом каждая цель в полученных данных рассматривается как точка в пространстве согласно ее координатам, при этом кластеризация содержит объединение в кластеры точек, которые находятся друг от друга в пределах расстояния объединения и имеют близкую радиальную скорость, при этом расстояние объединения данной точки с другими точками зависит от уровня отраженного ...

Способ определения траектории движения автомобиля по видео для выявления нарушений правил дорожного движения

Изобретение относится к способу определения траектории движения автомобиля по видео для выявления нарушений правил дорожного движения. При осуществлении способа происходит нахождение положения государственного регистрационного знака (ГРЗ) автомобиля на видеокадре, на котором поиск ГРЗ программными средствами производился и ГРЗ был успешно распознан. Затем восстанавливаются положения ГРЗ автомобиля на видеокадрах, на которых его поиск не производился или он не был распознан, с помощью нахождения особых точек, для которых на другом изображении того же предмета может быть наиболее достоверно найдены точки, изображающие те же точки физического объекта в окрестности номера на кадре, на котором ГРЗ был распознан или его положение было успешно найдено с помощью данного алгоритма, и их сопоставления с особыми точками, найденными на текущем кадре. Далее положение ГРЗ определяется путем вычисления медианных координат вершин векторов, построенных от особых точек, найденных на кадре, где ГРЗ не был ...

СПОСОБ И СИСТЕМА ДЛЯ ОПТИКО-ИНЕРЦИАЛЬНОГО ТРЕКИНГА ПОДВИЖНОГО ОБЪЕКТА

Изобретение относится к способу и системе для обратного оптико-инерциального трекинга подвижного объекта. Способ включает в себя следующие шаги: (а) обеспечивают излучение множеством маркеров света в ИК-диапазоне; (б) посредством первого устройства обработки данных считывают изображение с оптического датчика, физически связанного с подвижным объектом, и выявляют в считанном изображении пиксели, соответствующие заранее заданным условиям; (в) на основе выявленных пикселей посредством первого устройства обработки данных выявляют изображения маркеров и определяют параметры этих изображений маркеров; (г) посредством первого устройства обработки данных считывают данные с, по меньшей мере, одного инерциального датчика, физически связанного с подвижным объектом; (д) посредством первого устройства обработки данных формируют объединенный поток данных, содержащий параметры изображений маркеров и данные с упомянутого, по меньшей мере, одного инерциального датчика, и посредством первого устройства связи ...

КАМЕРА НАБЛЮДЕНИЯ И СИСТЕМА КАМЕРЫ НАБЛЮДЕНИЯ, ПРЕДУСМОТРЕННАЯ С ВЫШЕУПОМЯНУТОЙ

Группа изобретений относится к камере наблюдения с функцией управления экспозицией и системе камеры наблюдения, включающей в себя камеру наблюдения. Камера наблюдения с функцией управления экспозицией включает в себя: контроллер (22) экспозиции, который исполняет управление экспозицией посредством обращения к опорной зоне, которая установлена в части диапазона формирования изображения; средство (23) обнаружения изменения, которое обнаруживает изменение опорной зоны; и средство (21) установки зоны, которое устанавливает замещающую зону для замещения опорной зоны в случае, когда обнаруживается изменение опорной зоны. Контроллер (22) экспозиции исполняет управление экспозицией посредством обращения к замещающей зоне в случае, когда установлена замещающая зона. Система камеры наблюдения, включающая камеру наблюдения с функцией управления экспозицией, содержит информационное устройство, которое используется для операции установки посредством пользователя в отношении камеры наблюдения. Технический ...

УЛУЧШЕНИЕ КИНОИЗОБРАЖЕНИЙ С ИСПОЛЬЗОВАНИЕМ ТОЧНОЙ ИНФОРМАЦИИ О ДВИЖЕНИИ

СИСТЕМА И СПОСОБ МЕДИЦИНСКОЙ ВИЗУАЛИЗАЦИИ ДЛЯ ПРЕДОСТАВЛЕНИЯ ПРЕДСТАВЛЕНИЯ ИЗОБРАЖЕНИЯ, ПОДДЕРЖИВАЮЩЕГО ТОЧНОЕ НАПРАВЛЕНИЕ ХИРУРГИЧЕСКОГО ИНСТРУМЕНТА ПРИ ХИРУРГИЧЕСКОЙ ОПЕРАЦИИ НА СОСУДАХ

... 1. Система (10) медицинской визуализации для предоставления представления изображения, поддерживающего точное направление хирургического инструмента (2) при хирургической операции на сосудах в обследуемой области, причем в этой области позиция обследуемого объекта зависит, по меньшей мере, от первого источника движения, при этом система медицинской визуализации выполнена с возможностью:(i) получения (24) первой последовательности изображений обследуемой области сосудов с помощью хирургического инструмента, вставленного в обследуемую область сосудов в течение временного интервала без первого движения пациента;(ii) определения (26) последовательности первого движения для циклического движения хирургического инструмента в течение цикла второго движения посредством анализа движения хирургического инструмента в первой последовательности полученных изображений;(iii) создания (28) модели движения хирургического инструмента, обусловленной исключительно вторым движением;(iv) определения (30) оператора ...

ТРЕХМЕРНЫЕ ЛОКАЛИЗАЦИЯ И ОТСЛЕЖИВАНИЕ ДЛЯ АДАПТИВНОЙ ЛУЧЕВОЙ ТЕРАПИИ

СПОСОБ И СИСТЕМА ИЗМЕРЕНИЯ СКОРОСТИ ТРАНСПОРТНОГО СРЕДСТВА

... 1. Система измерения скорости транспортного средства, имеющего признак известного размера, содержащая:одну или более камер для захвата изображений транспортных средств на дороге;средство хронирования для хронирования захвата изображений;процессор, выполненный с возможностью работы по меньшей мере в режиме калибровки или режиме контроля,причем:(i) в режиме калибровки процессор:идентифицирует на захваченных изображениях признак транспортного средства;вычисляет размер в пикселях признака транспортного средства на двух или более захваченных изображениях;принимает в качестве входных данных геодезическое расстояние транспортного средства вдоль дороги в моменты времени захвата захваченных изображений; иформирует таблицу соответствия или функцию, соотносящую вычисленный размер признака с геодезическим расстоянием транспортного средства вдоль дороги; и(ii) в режиме контроля процессор:идентифицирует на захваченных изображениях признак транспортного средства;вычисляет размер в пикселях признака транспортного ...

Vorrichtung zur Detektion der relativen Bewegung zwischen Inhalten von aufeinanderfolgenden Halbbildern eines Videosignals

BLICKSCHÄTZUNG UNTER VERWENDUNG EINES ODER MEHRERER NEURONALER NETZWERKE

Es werden Geräte, Systeme und Verfahren zur Schätzung des Benutzerblicks vorgestellt. In mindestens einer Ausführungsform werden ein oder mehrere neuronale Netzwerke verwendet, um grobe und feine Blickschätzungen für einen oder mehrere Benutzer zu bestimmen.

Prozessor für Prozessregelung

Objektverfolgung

Verfahren und Systeme werden zum Verfolgen eines Objekts bereitgestellt. Das System beinhaltet ein Datenempfangsmodul, das dazu konfiguriert ist, dreidimensionale Bildgebungsdaten und zweidimensionale Bildgebungsdaten zu empfangen. Ein dreidimensionales Objektidentifikationsmodul ist konfiguriert, ein dreidimensionales Objekt abzugrenzen und dreidimensionale Objektdaten auszugeben. Ein Einstellmodul ist dazu konfiguriert, die dreidimensionalen Objektdaten basierend auf den zweidimensionalen Objektdaten einzustellen und eingestellte dreidimensionale Objektdaten auszugeben. Ein Verfolgungsmodul ist dazu konfiguriert, mindestens ein Objekt unter Verwendung der eingestellten dreidimensionalen Objektdaten zu verfolgen.

HOCHAUFLÖSENDER VIRTUELLER RADDREHZAHLSENSOR

Ein Verfahren zum Erzeugen von hochauflösenden virtuellen Raddrehzahlsensordaten beinhaltet das gleichzeitige Sammeln von Raddrehzahlsensordaten (WSS-dATEN) von mehreren Raddrehzahlsensoren, die jeweils die Drehung eines von mehreren Rädern eines Kraftfahrzeugs erfassen. Aus mindestens einer im Kraftfahrzeug montierten Kamera wird ein Kamerabild einer Fahrzeugumgebung erzeugt. Ein Programm für den optischen Fluss wird angewendet, um das Kamerabild in Pixeln zu diskretisieren. Dem diskretisierten Kamerabild sind mehrere Entfernungsintervalle überlagert, die jeweils eine zurückgelegte Fahrzeugdistanz darstellen, die eine Auflösung jedes der mehreren Raddrehzahlsensoren definiert. Es wird eine Wahrscheinlichkeitsverteilungsfunktion erstellt, die eine zurückgelegte Strecke für eine nächste WSS-Ausgabe vorhersagt.

VIDEOSTABILISIERUNG

Diese Offenbarung stellt Videostabilisierung bereit. Ein Rechensystem kann einen stabilisierten Bildstrom empfangen, wobei der stabilisierte Bildstrom driftkorrigiert ist, basierend auf dem Bestimmen, dass ein Eingabebildstrom stabil ist, und dann Anwenden einer Driftkorrektur zum Beibehalten eines stabilisierten Sichtfeldes, wobei das Sichtfeld in Bezug auf die reale Welt stabilisiert ist. Das Rechensystem kann ein Fahrzeug basierend auf dem Bestimmen mindestens eines sich bewegenden Objektes in dem stabilisierten Bildstrom betreiben.

VORHERSAGE EINES WEGES EINES FLÜSSIGKEITSTROPFENS

Die Offenbarung stellt die Vorhersage eines Weges eines Flüssigkeitstropfens bereit. Ein System beinhaltet einen Prozessor und einen Speicher, der Anweisungen speichert, die durch den Prozessor ausführbar sind, um einen Weg eines Flüssigkeitstropfens auf einer Oberfläche vorherzusagen und dann eine oder mehrere Fahrzeugkomponenten basierend auf dem Weg zu betätigen.

VERFOLGUNG SEMANTISCHER OBJEKTE IN VEKTORBILDSEQUENZEN

Verfahren und Vorrichtung zum Erkennen einer Fehldetektion eines Objektss in einem Bild

Ein Verfahren zum Erkennen einer Fehldetektion eines Objekts in einem Bild umfasst ein Erfassen eines Objekts in einem Bild einer Mehrzahl von Bildern und ein Analysieren der Mehrzahl von Bildern, um eine Eigenschaft des erfassten Objekts zu bestimmen. Dabei wird für jedes Bild der Mehrzahl von Bildern bestimmt, ob das jeweilige Bild das erfasste Objekt zeigt. Des Weiteren umfasst das Verfahren ein Erkennen, dass es sich bei dem erfassten Objekt um eine Fehldetektion handelt, wobei das Erkennen auf der bestimmten Eigenschaft des erfassten Objekts basiert.

VIDEOBILD-GLEISÜBERWACHUNGSSYSTEM

Image processing method and apparatus

Dynamic object classification

A method for determining positional error within a robotic cell environment

Method of detecting moving objects

Modifying image data

Measuring rotational velocity of a spherical object

A recording device 2 photographs and records a rotating spherical object (1) (fig.3) from one definite direction as a plurality of stationary circular images at definite intervals. An instrumentation device 3 measures positions of definite two points (P, Q)(fig.3) in each of the recorded stationary circular images. An arithmetic unit 4 calculates rotation quantity of the spherical object on each axis of a three-dimensional coordinate system on the basis of the positions of the two points in each of the stationary circular images. ...

Method of detecting moving objects

A method which is used for optically detecting moving objects method comprises an image recording unit 1, a computing unit 2 with a memory 4, and a signal display 5. The computing unit compares an image recorded by the image recording unit with a reference image in relation to the measured variables: image signal variation, displacement and texture. For determining the comparison values the chronological mean value and the chronological variance are thus preferably used for describing the typical distribution of the measured variables in each case. If the comparison displays an atypical image signal variation and an atypical texture and an atypical displacement, a moving object is detected, a signal is emitted, and the actual image signal is stored as the new reference image signal and is used as the reference image signal for the next comparison.

Method for searching a triangle corresponding to a location of an object moving on trigonometric grids

Image analysis device, image analysis method, and recording medium

Analysis of breathing data

Image processing apparatus and method

Ocular video stabilization

A method for ocular stabilization of video images, suitable for use in augmented reality head mounted displays, has the steps of obtaining binocular eye-gaze directions of the left 501-L and right 501-R eyes of a user of a wearable head-mountable device (HMD) (102, figure 1a) using an eye-tracking device, while simultaneously capturing video images in a forward field of view with a forward-facing video camera 502 of the HMD. Based on the obtained binocular eye-gaze directions of left and right eyes of the user of the HMD, convergent gaze directions of the user 503-L, 503-R are determined as a function of time during an interval concurrent with the capturing of the video images. The captured video images are then stabilized by compensating for motion of the forward-facing video camera with an intersection of the convergent gaze directions of the user with an image plane of the forward-facing video camera. In another aspect of the invention, only one eye is tracked. A further aspect uses ...

Tracking device and tracking program

Provided is a tracking device in which a graph generation unit (21) uses each of a plurality of objects detected from a plurality of frames constituting image data as nodes to provide an edge connecting objects between two consecutive frames and generate a tracking graph. A vector calculation unit (22) calculates a speed vector for an object detected from a target frame on the basis of the correspondence between the object detected from the target frame and an object detected from the frame preceding the target frame. A cost calculation unit (23) uses the speed vector as a basis to calculate the cost of an edge connecting objects between the target frame in the tracking graph and the next frame after the target frame. A correspondence identification unit (24) uses the tracking graph and the cost as a basis to identify the correspondence between the objects between the target frame and the next frame.

Method of searching data for objects identified by object detection

Detecting Movement of an Object Between a First and a Second Image

Movement of an object between first and second images is detected. A global distortion model (e.g. first order polynomial function modeling rotation, scale and translation) is determined based on the association of one or more points of interest in the first image with corresponding point(s) of interest in the second. Transformation (e.g. backward warping process) is performed on the second image (S22) to align it with the first based on the distortion model. A first observed residual between the first image and the transformed second image is computed (S23) and a predicted residual is computed (S26) based on a quantitative estimation of the variation of aliasing between pixels of the transformed second image (S24) and corresponding pixels of the first image, and on a quantitative evaluation of the level of aliasing within the first image based on the frequency of content detail of pixels of the first image (S25). The observed residual is compared with the predicted residual to identify ...

Calculating weight using image data

A weighing apparatus (10) comprises an imaging device (18) and a pliable platform (19), where the weight (downward force) of an object (30) is calculated based upon a plurality of images captured of the pliable platform. The extent of deformation (32) may be used to determine the weight of the object (30), in particular by comparison with stored reference data of the response of the platform to known weights (either as a look up table, or functional mapping). Thus the platform has known pliability characteristics. In an alternative embodiment, vibrations of the pliable member with the object present may be used to determine the object weight. The imaging device may be a camera or video camera located above or below the platform. The platform may be suspended between two or more walls to allow imaging from below. Weight calculation is carried out by a weight calculating unit (16).

Matching local image feature descriptors

Video system with intelligent visual display

DEVICE FOR MONITORING THE SURROUNDING SPACE IN REAL TIME,FOR DETECTING AND TRACKING POSSIBLE ENEMY MISSILES

Shaker imaging and analysis

Image surveillance/retrieval system

Video system with intelligent visual display

A video system (100) for intelligent visual display includes a video camera (110) having an imager (115) that produces a first set of image data (400) representing an image of a scene. Video analytics (120) receive and analyze the first set of image data to track an object. The video analytics generate metadata (410) synchronized to the first set of image data and representing location information of an image of the object in the image of the scene. A display management module (340) receives the first set of image data and the metadata to derive from the first set of image data a second set of image data (420) representing a cropped close-up image of the object. The second set of image data is distinct from the first set of image data to enable separate display presentation of the cropped close-up image and the image of the scene.

Image alignment for burst mode images

Modifying image data

Method and apparatus for ordering images

Synopsizing videos from multiple moving video cameras

Traking device and tracking program

Method of computer vision based localisation and navigation and system for performing the same

Method to synchronize a barcode decode with a video camera to improve accuracy of retail pos loss prevention

A Method, an apparatus and a computer program product for object detection

Trajectory generation using road network model

A method and system of trajectory generation using a road network model comprising; obtaining, using at least one processor of a vehicle, a location of the vehicle, sensor data collected at the location; obtaining and map data for the location (701). Generating, using one or more processors, at least one possible trajectory for at least one object at the location, wherein the possible trajectory is constrained in accordance with the map data (702). Predicting, using a machine learning model, a score for the at least one trajectory (703). The system may generate feature vectors generated from an image embedding of the sensor data and the map data. Point clouds may be utilised in conjunction with LiDAR.

Methods for reconstruction of MRI image data

Computer-implemented method for tracking an object, device for tracking an object, and system for tracking an object

A method 500 for tracking an object, such as an vehicle (Fig.4) or person, comprising: receiving video feed 502 from a camera (306, Fig.3); determining a probability of existence (PoE) of an object in a video frame 504; determining whether the PoE falls below a probability threshold 506; determining whether the object is in close proximity to the camera through a set of close-range criteria 508; and adjusting the PoE if the close-range criteria are met 510. Adjusting the PoE may be based upon a difference between a previous frame’s adjusted PoE and the current frame’s PoE (604, Fig.6A). A probability decremental value, that reduces the PoE of an object, may be determined based on the determination of whether the object fulfils the close-range criteria. If the object is near to the camera the PoE is decreased by a first value, if the object is far away from the camera the PoE is decreased by a second larger value. Closer objects are therefore given a higher probability of existence. If the ...

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

CMOS IMAGE SENSOR WITH BILDMUSTERERKENNUNG ON A CHIP

PROCEDURE FOR THE DETERMINATION OF THE INDEPENDENT MOVEMENT OF A VEHICLE

EYE PURSUIT LIGHTING

PROCEDURE AND SYSTEM FOR THE VIDEOBASED MEASUREMENT OF THE LANE CURVATURE

PROCEDURE AND SYSTEM FOR THE DETECTION OF A BUILDING DEFORMATION

VORBEARBEITUNG VON SPIEL-VIDEOSEQUENZEN ZUR ÜBERTRAGUNG ÜBER MOBILNETZE

A method and a system for preprocessing game video sequences comprising frames and including a ball or puck as movable game object, for transmission of the video sequences in compressed form; in an initial search (12), frames are searched for the game object on the basis of comparisons of the frames with stored game object features; then, respective frames are compared with preceding frames, to decide on the basis of differences between consecutive frames whether a scene change (14b) has occurred or not, and in the case of a scene change, an initial search is started again; otherwise, tracking of the game object (18) is carried out by determining the positions of the game object in respective frames; at least for one frame, a dominant game playfield color is detected and is replaced by a unitary replacement color so that a playfield representation essentially consists of points of the same color; and the presence, size and/or shape of the detected game object is determined, to possibly ...

METHOD AND SYSTEM TO THE MOTION ANALYSIS

TARGET ACQUISITION PROCEDURE FOR PUNCTIFORM GOALS AND THE PROCEDURE CONVERTING MONITOR

VERFAHREN ZUR ERFASSUNG EINES SICH AUF EINER FAHRBAHN, INSBESONDERE EINER AUTOBAHN BEWEGENDEN FAHRZEUGS SOWIE ZUR ERMITTLUNG FAHRZEUGSPEZIFISCHER DATEN

IDENTIFICATION OF CELLS DURING KINETIC TEST SERIES

WAS LATE VIDEO PUR-PURSUIT

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

Efficient determination of optical flow between images

A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

FORECASTING HUMAN DYNAMICS FROM STATIC IMAGES

Abstract A forecasting neural network receives data and extracts features from the data. A recurrent neural network included in the forecasting neural network provides forecasted features based on the extracted features. In an embodiment, the forecasting neural network receives an image, and features of the image are extracted. The recurrent neural network forecasts features based on the extracted features, and pose is forecasted based on the forecasted features. Additionally or alternatively, additional poses are forecasted based on additional forecasted features. CO) SC) Lp C) M J CO C'> C) LuJ ...

System and method for measuring geometric change in a subterranean structure

A system for measuring geometric change in a subterranean structure. The system includes an apparatus communicably couplable to a computing system. The apparatus is couplable to a mobile platform and includes a sensor configured to acquire data representative of a geometry of the subterranean structure and/or a camera configured to capture images of an interior of the subterranean structure, and a processing circuit. The computing system includes at least one processor, a 3D generator module configured to generate a digital three-dimensional model of the subterranean structure, an anchor module configured to define a plurality of digital anchors associated with the subterranean structure; a movement determination module configured to determine a movement of at least one of the digital anchors, and a movement classification module configured to determine a type of movement within the subterranean structure based on the determined movement of the at least one of the digital anchors.

Camera based angle tracking of swarms for collision avoidance

CAMERA BASED ANGLE TRACKING OF SWARMS FOR COLLISION Systems and methods for tracking swarms of flying objects for collision avoidance using area scanning optical systems. Images of the volume of space forward of an aircraft (10) in flight are captured using one or more cameras (2, 2a, 2b) and then the images are processed to determine whether the image data indicates the presence of a swarm. The camera-based collision avoidance system is configured to detect and angularly track small objects flying in a swarm at sufficiently far ranges to cue or alert the flight control system onboard an autonomous or piloted aircraft to avoid the swarm. A swarm angle tracking algorithm is used to recognize swarms of flying objects that move in unison in a certain direction by detecting a consistent characteristic of the pixel values in captured images which is indicative of swarm motion. co \ o / \ / \ / \ / \ / \ / \ / / C)/ /' coo -- Q C)o ...

METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR INTELLIGENT TRACKING AND DATA TRANSFORMATION BETWEEN INTERCONNECTED SENSOR DEVICES OF MIXED TYPE

A method, system and computer program product for intelligent tracking and transformation between interconnected sensor devices of mixed type is disclosed. Metadata derived from image data from a camera is compared to different metadata derived from radar data from a radar device to determine whether an object in a Field of View (FOV) of one of the camera and the radar device is an identified object that was previously in the FOV of the other of the camera and the radar device.

Automated detection of features and/or parameters within an ocean environment using image data

Automated detection of features and/or parameters within an ocean environment using image data. In an embodiment, captured image data is received from ocean-facing camera(s) that are positioned to capture a region of an ocean environment. Feature(s) are identified within the captured image data, and parameter(s) are measured based on the identified feature(s). Then, when a request for data is received from a user system, the requested data is generated based on the parameter(s) and sent to the user system.

Golf ball tracking system

A ball tracking system is disclosed which includes a display, sensors, a launch monitor and a processor that receives data from the sensors and launch monitors and outputs a rendering to the display. Specifically the sensors are positioned to detect a plurality of observed ball flight paths, each in the plurality originating from a different ball strike at a different location. The sensors field of view is correlated to three-dimensional space. The launch monitor is positioned to detect one of the ball strikes, and measures the launch parameters of that ball strike. The processor performs several processing steps to match the ball strike detected by the launch monitor to the ball flight paths observed by the sensors, and creates a rendering using both the predicted and observed data.

STABILIZING VIDEO

In general, the invention can be embodied in methods, systems, and program products for identifying, by a computing system and using first and second frames of a video, a transformation that indicates movement of a camera with respect to the frames. The computing system generates a modified transformation so that the transformation is less representative of recent movement. The computing system uses the transformation and the modified transformation to generate a second transformation. The computing system identifies an anticipated distortion that would be present in a stabilized version of the second frame. The computing system determines an amount by which to reduce a stabilizing effect. The computing system applies the second transformation to the second frame to stabilize the second frame, where the stabilizing effect has been reduced based on the determined amount by which to reduce the stabilizing effect. WO 2017/065952 PCT/US2016/053252 00( 00 0 _ 04-- _ _ 4-_ 0.- (D L a) a)) Ln ...

Computer vision-based technique for objective assessment of material properties in non-rigid objects

A method for aligning a modified document and an original document for comparison and difference highlighting

Operations monitoring in an area

An assembly for monitoring an area is provided. The assembly can include two or more cameras sensitive to radiation of distinct wavelength ranges. The fields of view of the cameras can be substantially co-registered at the area to be monitored. The assembly can include a computer system which can process the image data to monitor the area. The computer system can be configured to identify relevant objects present in the area, update tracking information for the relevant objects, and evaluate whether an alert condition is present using the tracking information.

Methods circuits devices systems and associated computer executable code for Multi factor image feature registration and tracking

Disclosed are methods, circuits, devices, systems and associated executable code for Multi factor image feature registration and tracking, wherein utilized factors include both static and dynamic parameters within a video feed. Assessed factors may originate from a heterogeneous set of sensors including both video and audio sensors. Acoustically acquired scene information may supplement optically acquired information.

A surgical mechanism control system

Systems for linear mapping of lumens

Systems for linear mapping of lumens are described which utilizes methods to create a linearized view of a lumen using multiple imaged frames. In reality a lumen has a trajectory in 3-D, but only a 2-D projected view is available for viewing. The linearized view unravels this 3-D trajectory thus creating a linearized map for every point on the lumen trajectory as seen on the 2-D display. In one mode of the invention, the trajectory is represented as a linearized display along 1 dimension. This linearized view is also combined with lumen measurement data and the result is displayed concurrently on a single image. In another mode of the invention, the position of a treatment device is displayed on the linearized map in real time. In a further extension of this mode, the profile of the lumen dimension is also displayed on this linearized map.

Method and device for tracking location of human face, and electronic equipment

A method and device for tracking the location of a human face, and electronic equipment. The method comprises: acquiring a human face region of a current frame of image (S1); determining, according to the human face region of the current frame of image, a prediction region, in which a human face appears, in a next frame of image of the current frame of image (S2); finding a first preselected region, which reaches a preset requirement in the aspect of similarity with the human face region, in the prediction region (S3); detecting a human face region of the next frame of image; and determining a human face location tracking result of the next frame of image based on the first preselected region and a detection result of the human face region of the next frame of image and according to a preset selection rule (S4). The method can accurately locate and track human face regions in frames of image in complex scenes such as strong light interference and fast face movement, thereby improving a ...

Three dimensional respiratory motion management in image-guided radiotherapy

Systems and methods for managing motions of an anatomical region of interest of a patient during image-guided radiotherapy are disclosed. An exemplary system may include an image acquisition device, a radiotherapy device, and a processor device. The processor device may be configured to control the image acquisition device to acquire at least one 2D image. Each 2D image may include a cross-sectional image of the anatomical region of interest. The processor device may also be configured to perform automatic contouring in each 2D image to extract a set of contour elements segmenting the cross-sectional image of the anatomical region of interest in that 2D image. The processor device may be further configured to match the set of contour elements to a 3D surface image of the anatomical region of interest to determine a motion of the anatomical region of interest and to control radiation delivery based on the determined motion.

Visual device

Method and apparatus for multiplexing separately-authored metadata for insertioninto a video data stream

Method for representing real-time motion

APPARATUS AND METHOD FOR ROBOTIC DISPLAY CHOREOGRAPHY

The present system and method provides for a new digital media paradigm enabling tight choreography of motion, content and time able to be presented on a variety of hardware platforms consisting of robotic control of a multiplicity of display screens in the form of a movable array of 2 or more LCDs, LEDs, OLEDs, etc., with the movement and placement of each display achieved by one multi--axis manipulator arm mechanism. Motion control is achieved through software programmed onto one or more controller systems and the corresponding tools necessary for creative visual designers to produce content meeting this new paradigm are also proposed. Each arm/display screen combination is kept aware of its positioning in physical space, relative to the positioning of each and every other arm/display screen at all times, in order to prevent collisions. The pre--programmed software control takes the form of a choreographed play list of movements, content, and time that match the desired positioning of ...

METHODS AND APPARATI FOR NONDESTRUCTIVE DETECTION OF UNDISSOLVED PARTICLES IN A FLUID

The apparati, methods, and computer program products disclosed herein can be used to nondestructively detect undissolved particles, such as glass flakes and/or protein aggregates, in a fluid in a vessel, such as, but not limited to, a fluid that contains a drug.

A METHOD AND SYSTEM FOR TRACKING OBJECTS

A method and system is provided for tracking one or more objects in a video which is computationally light so that it can run on a variety of computing devices, including mobile devices which typically have a limited computational power. The tracked objects can be selected, and can then be automatically tracked afterwards. The tracked objects can be deselected or have their bounding boxes moved or resized at any time. The tracking can be performed using online learning with a binary classifier to separate the target from the background.

DISTRIBUTED DEVICE MAPPING

The present invention relates to the efficient use of both local and remote computational resources and communication bandwidth to provide distributed environment mapping using a plurality of mobile sensor-equipped devices. According to a first aspect, there is provided a method of determining a global position of one or more landmarks on a global map, the method comprising the steps of determining one or more differences between sequential sensor data captured by one or more moving devices; determining one or more relative localisation landmark positions with respect to the one or more moving devices; determining relative device poses based one or more differences between sequential sensor data relative to the one or more relative localisation landmark positions; and determining a correlation between each device pose and the one or more relative localisation landmarks positions.

GENERATING INTERMEDIATE VIEWS USING OPTICAL FLOW

A canvas generation system generates a canvas view of a scene based on a set of original camera views depicting the scene, for example to recreate a scene in virtual reality. Canvas views can be generated based on a set of synthetic views generated from a set of original camera views. Synthetic views can be generated, for example, by shifting and blending relevant original camera views based on an optical flow across multiple original camera views. An optical flow can be generated using an iterative method which individually optimizes the optical flow vector for each pixel of a camera view and propagates changes in the optical flow to neighboring optical flow vectors.

APPARATUS AND METHOD FOR PERFORMING MOTION CAPTURE USING A RANDOM PATTERN ON CAPTURE SURFACES

MOTION CAPTURE USING PRIMARY AND SECONDARY MARKERS

SASH POSITION DETERMINING SYSTEM

A system for determining a sash panel position. An example system includes a linear array of light emitting elements spaced at equal distances from one another mounted on a fume hood frame. The light emitting elements generate a light path towards a sash panel such that the sash panel blocks the light path when positioned at the light emitting element. A linear array of light sensing elements is spaced at equal distances from one another on a side opposite the sash panel. The light sensing elements receive the light path generated by corresponding light emitting elements when the sash panel does not block the light path. The light sensing elements may be on modules having shift registers with bits corresponding to the light sensing elements. The shift register stores a state of the light sensing element and outputs a series of bits indicating the state of each light sensing element.

TRACKING OF HAIR FOLLICLES

A system and method for tracking, identifying, and labeling objects or features of interest is provided. In some embodiments, tracking is accomplished using unique signature of the feature of interest and image stabilization techniques. According to some aspects a frame of reference using predetermined markers is defined and updated based on a change in location of the markers and/or specific signature information. Individual objects or features within the frame may also be tracked and identified. Objects may be tracked by comparing two still images, determining a change in position of an object between the still images, calculating a movement vector of the object, and using the movement vector to update the location of an image device.

METHOD AND SYSTEM FOR DYNAMIC FEATURE DETECTION

Disclosed are methods and systems for dynamic feature detection of physical features of objects in the field of view of a sensor. Dynamic feature detection substantially reduces the effects of accidental alignment of physical features with the pixel grid of a digital image by using the relative motion of objects or material in and/or through the field of view to capture and process a plurality of images that correspond to a plurality of alignments. Estimates of the position, weight, and other attributes of a feature are based on an analysis of the appearance of the feature as it moves in the field of view and appears at a plurality of pixel grid alignments. The resulting reliability and accuracy is superior to prior art static feature detection systems and methods.

Respiration-correlated radiotherapy

An approach to radiotherapy is disclosed which allows the therapeutic beam to be more accurately directed towards a target region. Instead of stopping acquiring images during treatment, the system continues to acquire images as treatment is ongoing. This ongoing pipeline of images is used to update the previously created 3D reconstructions of each breathing phase. Thus the position of the target region can also be updated. The surrogate is recorded simultaneously with the image acquisition although it is not used to determine the breathing phase. As new images are used to update the 3D reconstructions of each breathing phase the values of the surrogate associated with that phase are also updated. This means that the correlation with the surrogate can also continue to be evaluated, and the correlation refined, thus improving the ability of the system to track the motion of the target.

Method and computing device in a system for motion detection

A computing device in a system for motion detection comprises an image processing device to determine a motion of an object of interest, and a graphical user interface (GUI) module to drive a virtual role based on the motion determined by the image processing device. The image processing device comprises a foreground extracting module to extract a foreground image from each of a first image of the object of interest taken by a first camera and a second image of the object of interest taken by a second camera, a feature point detecting module to detect feature points in the foreground image, a depth calculating module to calculate the depth of each of the feature points based on disparity images associated with the each feature point, the depth calculating module and the feature point detecting module identifying a three-dimensional (3D) position of each of the feature points, and a motion matching module to identify vectors associated with the 3D positions of the feature points and determine a motion of the object of interest based on the vectors.

Methods and Systems for Processing a Video for Stabilization and Retargeting

Methods and systems for processing a video for stabilization and retargeting are described. A recorded video may be stabilized by removing shake introduced in the video, and a video may be retargeted by modifying the video to fit to a different aspect ratio. Constraints can be imposed that require a modified video to contain pixels from the original video and/or to preserve salient regions. In one example, a video may be processed to estimate an original path of a camera that recorded the video, to estimate a new camera path, and to recast the video from the original path to the new camera path. To estimate a new camera path, a virtual crop window can be designated. A difference transformation between the original and new camera path can be applied to the video using the crop window to recast the recorded video from the smooth camera path.

Vehicle surroundings awareness support device

Provided is a vehicle surroundings awareness support device capable of providing a prompt for a driver to intuitively direct their attention, without the driver feeling hassled. Captured images comprising a plurality of frames taken sequentially by an onboard camera for imaging the surroundings of the vehicle are received; an optical flow is computed on the basis of feature points contained in the plurality of frames imaged at different times; moving objects in the surroundings of the vehicle are detected on the basis of the optical flow; and a display for showing movement trajectories for the moving objects is superimposed on the captured images on the basis of the optical flow.

System and method for measuring flight information of a spherical object with high-speed stereo camera

Disclosed is a method for automatically extracting centroids and features of a spherical object required to measure a flight speed, a flight direction, a rotation speed, and a rotation axis of the spherical object in a system for measuring flight information of the spherical object with a high-speed stereo camera. In order to automatically extract the centroids and the features of the spherical object, the present invention may automatically extract the centroid and the feature by detecting only the pixel of the foreground image including the spherical object generated by excluding the motionless background image from each camera image, sorting the interconnected pixels among the pixels of the detected foreground image into the independent pixel cluster, and then, using, in the extraction of the centroid and the feature, only one pixel cluster having a size similar to the actual spherical object.

Map generating and updating method for mobile robot position recognition

The present invention relates to a map generating and updating method for mobile robot position recognition, and more specifically relates to a map generating and updating method for mobile robot position recognition, whereby position recognition error can be minimised by registering landmarks extracted during map generation and landmarks extracted on the basis of the probable error in inferred landmarks, calculating the accuracy of landmarks pre-registered during map generation, and adjusting the level of landmarks of low accuracy or removing landmarks which have been registered erroneously.

Monitoring of video images

A characteristic motion in a video is identified by determining pairs of moving features that have an indicative relationship between the motions of the two moving features in the pair. For example, the motion of a pedestrian is identified by an indicative relationship between the motions of the pedestrian's feet. This indicative relationship may be that one of the feet moves relative to the surroundings while the other remains stationary.

Automatic quantitative vessel analysis

Apparatus and methods are described for use with an image of blood vessels of a subject. In response to a user designating a single point on the image (a) a target portion of a blood vessel is automatically identified in the vicinity of the designated point, and (b) quantitative vessel analysis is performed on the target portion of the blood vessel. An output is generated based upon the quantitative vessel analysis. Other embodiments are also described.

Adaptable Framework for Cloud Assisted Augmented Reality

A mobile platform efficiently processes sensor data, including image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires sensor data, such as image data, and determines whether there is a trigger event to transmit the sensor data to the server. The trigger event may be a change in the sensor data relative to previously acquired sensor data, e.g., a scene change in an image. When a change is present, the sensor data may be transmitted to the server for processing. The server processes the sensor data and returns information related to the sensor data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

Method for finding paths in video

A system for detecting behavior of a target may include: a target detection engine, adapted to detect at least one target from one or more objects from a video surveillance system recording a scene; a path builder, adapted to create at least one mature path model from analysis of the behavior of a plurality of targets in the scene, wherein the at least one mature path model includes a model of expected target behavior with respect to the at least one path model; and a target behavior analyzer, adapted to analyze and identify target behavior with respect to the at least one mature path model. The system may further include an alert generator, adapted to generate an alert based on the identified behavior.

Image processing method, recording medium carrying image processing program, and image processing apparatus

An image processing method includes the steps of extracting edges from each of a plurality of original images, thereby obtaining edge images; extracting straight lines from the edge images, thereby obtaining line images; assuming extensions of the straight lines constituting the line images and setting vanishing points on the basis of the extensions; and trimming the plurality of original images so that positions of the vanishing points in the respective original images mutually match, thereby obtaining final images.

Surgical assistance planning method using lung motion analysis

A medical analysis method for estimating a motion vector field of the magnitude and direction of local motion of lung tissue of a subject is described. In one embodiment a first 3D image data set of the lung and a second 3D image data set is obtained. The first and second 3D image data sets correspond to images obtained during inspiration and expiration respectively. A rigid registration is performed to align the 3D image data sets with one another. A deformable registration is performed to match the 3D image data sets with one another. A motion vector field of the magnitude and direction of local motion of lung tissue is estimated based on the deforming step. The motion vector field may be computed prior to treatment to assist with planning a treatment as well as subsequent to a treatment to gauge efficacy of a treatment. Results may be displayed to highlight.

Uncalibrated visual servoing using real-time velocity optimization

A robotic control method for a camera ( 30 ) having an optical view and a robot ( 40 ) having an end-effector ( 42 ) and one or more joints ( 41 ) for maneuvering end-effector ( 42 ). The robotic control method involves an acquisition of a digital video frame ( 32 ) illustrating an image as optically viewed by the camera ( 30 ), and an execution of a visual servoing for controlling a pose of end-effector ( 42 ) relative to an image feature within the digital video frame ( 32 ). The visual servoing involves an identification of a tracking vector (vtrk) within an image coordinate system ( 80 ) of the digital video frame ( 32 ) extending from a tracking point (TR) to a target point (TG) associated with the image feature, a mapping of the tracking vector within a configuration space ( 100 ) constructed from a robotic coordinate system ( 90 ) associated with the end-effector ( 42 ), and a derivation of a pose of the end-effector ( 42 ) within the robotic coordinate system ( 90 ) from the mapping of the tracking vector (vtrk) within the configuration space ( 100 ).

Multi-view object detection using appearance model transfer from similar scenes

View-specific object detectors are learned as a function of scene geometry and object motion patterns. Motion directions are determined for object images extracted from a training dataset and collected from different camera scene viewpoints. The object images are categorized into clusters as a function of similarities of their determined motion directions, the object images in each cluster are acquired from the same camera scene viewpoint. Zenith angles are estimated for object image poses in the clusters relative to a position of a horizon in the cluster camera scene viewpoint, and azimuth angles of the poses as a function of a relation of the determined motion directions of the clustered images to the cluster camera scene viewpoint. Detectors are thus built for recognizing objects in input video, one for each of the clusters, and associated with the estimated zenith angles and azimuth angles of the poses of the respective clusters.

Method and system for detection and tracking employing multi-view multi-spectral imaging

Multi view multi spectral detection and tracking system comprising at lease one imager, at least one of the at least one imager being a multi spectral imager, the at least one imager acquiring at least two detection sequences, and at least two tracking sequences, each sequence including at least one image, each acquired image being associated with respective image attributes, an object detector, coupled with the at least one imager, detecting objects of interest in the scene, according to the detection sequence of images and the respective image attributes, an object tracker coupled with the object detector, the object tracker tracking the objects of interest in the scene and determining dynamic spatial characteristics and dynamic spectral characteristics for each object of interest according to the tracking sequences of images and the respective image attributes and an object classifier, coupled with the object tracker, classifying the objects of interest according to the dynamic spatial characteristics and the dynamic spectral characteristics.

Dynamic radiographing system

A dynamic radiographing system enables determination of an evaluation value of the heart function of a subject by plain radiography. The dynamic radiographing system comprises a radiographing apparatus, an image processing apparatus, and a console for diagnosis. The radiographing apparatus dynamically radiographs the heart of a subject and creates radiographs in plural time phases (Step S 1 ). The image processing apparatus calculates an evaluation value of the heart function by using the radiographs in plural time phases (Step S 4 ). The console for diagnosis displays information on the calculated evaluation value on the display section (Step S 5 ).

Image editing apparatus, image editing method, and storage medium storing image editing control program

An image editing method includes detecting positions of the moving object contained in the images for the stored series of images, detecting a locus of movement of the moving object based on the detected positions of the moving object contained in the series of images, specifying an image corresponding to a feature point of the detected locus of movement of the moving object, extracting, from the series of images stored in the memory, images which include the specified image and correspond to a second shooting time interval longer than the first shooting time interval, and storing the extracted series of images as an image file in a memory.

Gesture recognition device, gesture recognition method, and program

There is provided a gesture recognition device that recognizes a gesture of shielding the front side of the imaging sensor, the gesture recognition device including a first detection unit that detects a change in a captured image between a state in which a front side of an imaging sensor is not shielded and a state in which the front side of the imaging sensor is shielded, and a second detection unit that detects a region in which a gradient of a luminance value of the captured image is less than a threshold value in the captured image in the state in which the front side of the imaging sensor is shielded.

Aerial Survey Video Processing

An aerial survey video processing apparatus for analyzing aerial survey video. The apparatus includes a feature tracking section adapted to associate identified features with items in a list of features being tracked, based on a predicted location of the features being tracked. The tracking section updates the list of features being tracked with the location of the associated identified features.

Image processing device and method, image processing system, and image processing program

An image processing device includes: an entire image display control portion that performs control to display an entire image of a predetermined region in an entire image display window; and a cutout image display control portion that performs control to enlarge a plurality of tracking subjects included in the entire image and display the tracking subjects in a cutout image display window. The cutout image display control portion performs the control in such a manner that one cutout image including the tracking subjects is displayed in the cutout image display window in a case where relative distances among the tracking subjects are equal to or smaller than a predetermined value, and that two cutout images including the respective tracking subjects are displayed in the cutout image display window in a case where the relative distances among the tracking subjects are larger than the predetermined value.

Image-based vehicle maneuvering assistant method and system

An image-based vehicle maneuvering assistant method and system are provided in the present invention, in which images captured by a single image sensing device is processed to determine the changes with respect time by a controller having capability of image processing and identification and distance estimation in image space for providing a complete assisting image-information while the carrier is maneuvering. By means of the presented method of the presented invention, the system is capable of generating track of the carrier, view point transformation, and identifying the characteristic object in the image so as to performing the distance estimation. The present invention may be utilized and applied in different kinds of carrier type to solve the problem of guiding of carrier maneuvering, and assist the carrier lane changing, parking assistance and blind spot detection.

System and method for monitoring a retail environment using video content analysis with depth sensing

A method and system for monitoring a retail environment by performing video content analysis based on two-dimensional image data and depth data are disclosed. Accuracy in customer actions to provide assistance, change marketing behavior, safety and theft, for example, is increase by analyzing video containing two-dimensional image data and associated depth data. Height data may be obtained from depth data to assist in object detection, object classification (e.g., detection a customer or inventory) and/or event detection.

System and method for video content analysis using depth sensing

A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.

Instant Calibration of Multi-Sensor 3D Motion Capture System

A method for instantly determining the mutual geometric positions and orientations between a plurality of 3D motion capture sensors has three or more reference markers mounted fixedly relative to each other on substantially one single plane which are sensed by each sensor. Said method enables said sensors to cooperate as a larger sensing system for 3D motion capture applications without requiring said sensors to be mounted rigidly relative to each other.

Product imaging device, product imaging method, image conversion device, image processing device, image processing system, program, and information recording medium

A product imaging device ( 121 ) is provided which facilitates a user to capture the image sequence of entire surroundings of a product. An image sensor unit ( 201 ) senses incident light from the external world where the product is disposed and outputs an image representing a result of the sensing. An instruction receiving unit ( 202 ) receives an image-capture instruction from the user. A memory unit ( 203 ) stores the image sensed by the image sensor unit ( 201 ) upon reception of an image-capture instruction. A finder display unit ( 204 ) synthesizes the image stored in the memory unit ( 203 ) with an image presently sensed by the image sensor unit ( 201 ) and displays a synthesized image on a finder screen.

Devices and methods for tracking moving objects

The present invention is directed to methods and devices for tracking moving characters of at least two moving objects. The present invention identifies an occlusive condition(s) of the moving objects on a video frame(s), analyzes information of a physical framework(s) of the moving objects, finds and records a position(s) of the occluded moving object(s) on the video frames and tracks a moving character(s) of the moving objects. The present invention further provides devices and methods for tracking the moving characters of behaviors of living bodies.

Camera based sensing in handheld, mobile, gaming, or other devices

Method and apparatus are disclosed to enable rapid TV camera and computer based sensing in many practical applications, including, but not limited to, handheld devices, cars, and video games. Several unique forms of social video games are disclosed.

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.

Nonlinear Self-Calibration for Structure From Motion (SFM) Techniques

A nonlinear self-calibration technique that may, for example, be used to convert a projective reconstruction to metric (Euclidian) reconstruction. The self-calibration technique may use a nonlinear least squares optimization technique to infer the parameters. N input images and a projective reconstruction for each image may be obtained. At least two sets of initial values may be determined for an equation to be optimized according to the nonlinear optimization technique to generate a metric reconstruction for the set of N images. The equation may then be optimized using each set of initial values according to the nonlinear optimization technique. The result with a smaller cost may be selected. The metric reconstruction is output. The output may include, but is not limited to, focal length, rotation, and translation values for the N images.

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.

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.

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

A system is disclosed that includes: at least one image capturing device at the entrance to obtain images; a reader device; and a processor for extracting objects of interest from the images and generating tracks for each object of interest, and for matching objects of interest with objects associated with RFID tags, and for counting the number of objects of interest associated with, and not associated with, particular RFID tags.

Periodic stationary object detection system and periodic stationary object detection method

A periodic stationary object detection system extracts a feature point of a three-dimensional object from image data on a predetermined region of a bird's eye view image for each of multiple sub regions included in the predetermined region, calculates waveform data corresponding to a distribution of the feature points in the predetermined region on the bird's eye view image, and judges whether or not the three-dimensional object having the extracted feature point is a periodic stationary object candidate on the basis of whether or not peak information of the waveform data is equal to or larger than a predetermined threshold value.

Automatic reduction of interfering elements from an image stream of a moving organ

Apparatus and methods are described for imaging a portion of a body of a subject that undergoes a motion cycle. A plurality of image frames of the portion are acquired. The image frames are enhanced with respect to a first given feature of the image frames, by (a) image tracking the image frames with respect to the first given feature, (b) identifying a second given feature in each of the image frames, and (c) in response to the identifying, reducing visibility of the second given feature in the image frames. The image frames that (a) have been image tracked with respect to the first given feature, and (b) have had reduced therein the visibility of the second given feature, are displayed as a stream of image frames. Other embodiments are also described.

Real time hand tracking, pose classification, and interface control

A hand gesture from a camera input is detected using an image processing module of a consumer electronics device. The detected hand gesture is identified from a vocabulary of hand gestures. The electronics device is controlled in response to the identified hand gesture. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.

Approaching-object detector, approaching object detecting method, and recording medium storing its program

An approaching-object detector for detecting an object approaching an own vehicle includes: a memory; and a processor configured to perform a process, the process including extracting a plurality of corresponding feature points from chronologically captured images, which are obtained by capturing the object using an imaging device provided for the own device, detecting a behavior among the captured images in regard to each of the plurality of feature points, determining whether or not the behavior is random in regard to each of the plurality of feature points, and determining whether or not the object is approaching the own vehicle based on a behavior of a feature point whose behavior is determined to be not random among the plurality of feature points, and outputting a result of the determination.

Broadband passive tracking for augmented reality

Technologies are generally described for a broadband passive sensing and tracking system that may employ a number of passive receivers that each have the capability of sensing electromagnetic waves (e.g., Radio Frequency “RF” signals) from surrounding broadcast sources. Each passive receiver may be adapted to sense through one or more antennas. Multiple receivers at different positions may be utilized to form a broadband sensing network adapted to perform collaborative tracking of a scene of interest. According to some examples, a beam-forming algorithm may be applied over the broadband sensing network utilizing an antenna array formed by the passive receivers to localize and track objects.

Notification system for providing awareness of an interactive surface

A system for providing awareness of an interactive surface is disclosed. The system may include a processor that is communicatively linked to an interactive surface. The processor may determine a position and a velocity of an object that is within range of the interactive surface based on one or more of media content, vibrations, air movement, sounds and, global positioning data associated with the object. Additionally, the processor may determine if the object has a trajectory that would cause the object to collide with the interactive surface based on the information associated with the object. If the processor determines that the object has a trajectory that would cause the object to collide with the interactive surface, the processor can generate a notification.

FLUORESCENCE BASED FLOW IMAGING AND MEASUREMENTS

Fluorescence based tracking of a light-emitting marker in a bodily fluid stream is conducted by: providing a light-emitting marker into a fluid stream; establishing field of view monitoring by placement of a sensor, such as a high speed camera, at a region of interest; recording image data of light emitted by the marker at the region of interest; determining time characteristics of the light output of the marker traversing the field of view; and calculating flow characteristics based on the time characteristics. Furthermore generating a velocity vector map may be conducted using a cross correlation technique, leading and falling edge considerations, subtraction, and/or thresholding. 1. A system for fluorescence based tracking of a light-emitting marker in a bodily fluid stream , the system comprising:a delivery apparatus configured to provide a light-emitting marker into the bodily fluid stream;a camera configured to monitor a region of interest traversed by the bodily fluid stream; and record motion video data generated by the camera;', 'determine time characteristics of the recorded data; and', 'calculate flow characteristics based on the time characteristics., 'a computing device configured to2. The system according to claim 1 , wherein the computing device is further configured to:divide the motion video data into kernels;identify which of the kernels receive some portion of the light-emitting marker using an intensity threshold;compute, for each identified kernel, an intensity signal data set comprising information of mean light intensity versus time;perform smoothing on each intensity signal data set; andcalculate a lag time between the intensity signal data sets of neighboring identified kernels using cross-correlation.3. The system according to claim 1 , wherein the computing device is further configured to:using a spatial resolution and the lag time, calculate velocity vectors;sum the velocity vectors of neighboring kernels to create a resultant velocity ...

X-RAY DIAGNOSIS APPARATUS AND IMAGE PROCESSING APPARATUS

A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image. 1. (canceled)2. An image processing apparatus comprising:memory configured to store X-ray images generated based on X-rays radiated from an X-ray tube and passed through a subject, and to detect, each time one of the X-ray images is newly stored in the memory, a position of a feature point of a device retained in the subject on each of the X-ray images;', 'to generate, each time the position of the feature point is detected, a correction image by performing at least one of image shift and image transformation of a second X-ray image, based on a position of a feature point detected on a first X-ray image and a position of a feature point detected on the second X-ray image, the first X-ray image being generated before the second X-ray image;', 'to generate, each time the correction image is generated, an addition correction image obtained by adding together the correction image and at least one correction image generated before the correction image; and', 'to perform control of ...

VISION SYSTEM FOR VEHICLE

A vehicular vision system includes front, rear, driver-side camera and passenger-side cameras each having a respective field of view exterior of the vehicle. Each of the cameras connects with a central video/image processor via a respective mono coaxial cable. Image data captured by the imaging sensor of each camera is carried as captured to the central video/image processor via said the respective mono coaxial cable as a Low Voltage Differential Signal (LVDS). The central video/image processor generates an output provided to a video display device of the vehicle, with the video display device having a video display screen viewable by a driver of the vehicle. The video display screen is operable to display a birds-eye view of an area around the vehicle. The birds-eye view of the area around the vehicle is derived, at least in part, from image data captured by the imaging sensors of the cameras. 1. A vehicular vision system , said vehicular vision system comprising:a plurality of cameras disposed at a vehicle equipped with said vehicular vision system, each having a respective field of view exterior of the vehicle;said plurality of cameras comprising a front camera disposed at a front portion of the equipped vehicle, said front camera comprising an imaging sensor comprising an array of a plurality of photosensor elements arranged in multiple columns and multiple rows, the imaging sensor of said front camera having a forward field of view exterior of the equipped vehicle and operable to capture image data;said plurality of cameras comprising a rear camera disposed at a rear portion of the equipped vehicle, said rear camera comprising an imaging sensor comprising an array of a plurality of photosensor elements arranged in multiple columns and multiple rows, the imaging sensor of said rear camera having a rearward field of view exterior of the equipped vehicle and operable to capture image data;said plurality of cameras comprising a driver-side camera disposed at a ...

METHOD FOR THE AUTOMATED ANALYSIS OF CELLULAR CONTRACTIONS OF A SET OF BIOLOGICAL CELLS

A method for analysis of cellular contractions of cells comprises recording a sequence of images of the cells. The sequence comprises a first image and a second image. The position of points of note in the first image are determined. The position of the same points of note in the second image, and for at least one point of note of the first image, is determined. A correspondence is established between the point of note of the first image and a point of note of the second image. The movement of the point of note, between the first image and the second image, is determined by comparing the position of the point of note of the first image and the position of the corresponding point of note of the second image. 110-. (canceled)11. A method for automated analysis of cellular contractions of a set of biological cells , the method comprising:determining a position of a set of points of note in a first image of a temporal sequence of images of a set of biological cells, the temporal sequence comprising the first image and a set of at least one second image;determining a position of a set of points of note in a second image, of the set of at least one second image; andfor at least one point of note, determining a movement of the at least one point of note between the first image and the second image, the determining comprising comparing a position of a first point of note of the first image and a position of a corresponding second point of note of the second image.12. The method of claim 11 , further comprising:defining a first region of interest around the point of note of the first image;computing an intensity of the first region of interest of the first image;defining a second region of interest in the second image, the second region of interest being centered on a point in the second image having same coordinates as the point of note of the first image, the second region of interest being of a same shape and of a same size as the first region of interest; and computing ...

TRAJECTORY CORRECTION DEVICE, TRAJECTORY CORRECTION METHOD, AND RECORDING MEDIUM

A reliability calculation unit calculates parameters representing reliabilities of a plurality of trajectories obtained by tracking one or more objects in a video, a similarity calculation unit calculates a parameter representing a similarity of any two trajectories of the plurality of trajectories, a score calculation unit calculating, as a score, a value obtained by weighting the parameter representing the similarity by the parameter representing the reliability, and a connection unit connects trajectories of the same object among the plurality of trajectories based on the score. 1. A trajectory correction device comprising:a memory configured to store instructions; andat least one processor configured to execute the instructions to perform:calculating parameters representing reliabilities of a plurality of trajectories obtained by tracking one or more objects in a video;calculating a parameter representing a similarity of any two trajectories of the plurality of trajectories;calculating, as a score, a value obtained by weighting the parameter representing the similarity by the parameter representing the reliability; andconnecting trajectories of the same object among the plurality of trajectories based on the score.2. The trajectory correction device according to claim 1 , whereinthe reliability is a value indicating a possibility of correctly tracking one object and obtaining one trajectory.3. The trajectory correction device according to claim 2 , whereinthe reliability is higher as a variation in the trajectory is smaller.4. The trajectory correction device according to claim 2 , whereinthe reliability is higher as a variation in a-characteristic associated with the trajectory is smaller.5. The trajectory correction device according to claim 1 , whereinthe similarity represents how similar characteristics regarding objects respectively associated with the two trajectories are to each other.6. A trajectory correction method comprising:calculating parameters ...

Binocular-vision-based method for tracking fruit space attitude and fruit space motion

A binocular-vision-based method for tracking fruit space attitude and fruit space motion, the method comprising: establishing a connected base coordinate system by taking a junction of a fruit and a fruit stem as an origin; statically photographing a feature point on the surface of the fruit and a point of the connected base coordinate system established at the junction of the fruit and the fruit stem; storing a photographed image; acquiring an inherent relationship between the feature point and the connected base coordinate system; photographing dynamic motion of the fruit; acquiring absolute coordinates of the feature point on the surface of the fruit; calculating, according to the inherent relationship between the feature point and the connected base coordinate system, absolute coordinates of a point of the connected base coordinate system at each moment corresponding to each frame of image; and respectively calculating the displacement, instantaneous speed and instantaneous acceleration of the fruit, calculating swing angular displacement and swing angular acceleration of the fruit, and calculating a fruit torsion angular speed and a fruit torsion angular acceleration at the moment t. The study of a fruit motion state in the field of forest fruit harvest through vibration is performed, so that the motion of fruits can be better tracked.

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.

Method of constructing street guidance information database, and street guidance apparatus and method using street guidance information database

A walking guidance apparatus using a walking guidance information database includes a feature point extracting unit configured to extract a feature point from an acquired image, a corresponding point search unit configured to search for a corresponding point based on a correspondence relationship between feature points extracted from consecutive images, a current position and walking direction calculation unit configured to calculate a current position and a walking direction of a pedestrian by calculating a 3D position and pose of a camera between the images by using camera internal parameters and a relationship between corresponding points, a guidance information generating unit configured to generate guidance information according to the current position and the walking direction of the pedestrian, and a guidance sound source reproducing unit configured to reproduce a guidance sound source corresponding to the guidance information in 3D based on the current position and the walking direction of the pedestrian.

Position estimation apparatus

A position estimation apparatus includes: an image information calculation unit that extracts each of image feature points from a plurality of images which are sequentially captured and associates the image feature points with each other between the plurality of images; a travel amount calculation unit that estimates the position of the mobile object; a three-dimensional image feature point calculation unit that estimates a three-dimensional position of the image feature point in a real space on the basis of a result of associating the image feature points with each other and the position of the mobile object; a position correction unit that corrects the three-dimensional position and the position of the mobile object so as to reduce a position error between a position of the three-dimensional position, when the three-dimensional position is reprojected onto any one of the plurality of images, in the relevant image and the image feature point; a route regeneration judgment unit that judges whether or not to regenerate the route on the basis of a result of comparison between the corrected position of the mobile object and the route.

Vehicle event reconstruction system

Described embodiments include a system and method. A computer-implemented method includes receiving electronic data indicative of at least two incremental movements of a vehicle moving over a stochastic surface during a period of time proximate to an event. The electronic data is responsive to a correlation vector between a feature of the stochastic surface in a first digital image captured at a first time by a first digital imaging device carried by the vehicle and the feature of the stochastic surface in a second digital image captured at a subsequent second time by a second digital imaging device carried by the vehicle. The method includes determining in response to the received electronic data a behavior of the vehicle during the period of time proximate to the event. The method includes electronically outputting data indicative of the determined behavior of the vehicle during the period of time proximate to the event.

Systems and methods for deriving an agent trajectory based on multiple image sources

Examples disclosed herein may involve a computing system that is operable to (i) receive a first sequence of images captured by a monocular camera associated with a vehicle during a given period of operation and a second sequence of image pairs captured by a stereo camera associated with the vehicle during the given period of operation, (ii) derive, from the first sequence of images captured by the monocular camera, a first track for a given agent that comprises a first sequence of position information for the given agent, (iii) derive, from the second sequence of image pairs captured by the stereo camera, a second track for the given agent that comprises a second sequence of position information for the given agent, and (iv) determine a trajectory for the given agent based on the first and second tracks for the given agent.

METHOD AND SYSTEM FOR CONTROLLING AN EYE TRACKING SYSTEM

There is provided a method, system, and non-transitory computer-readable storage medium for controlling an eye tracking system to optimize eye tracking performance under different lighting conditions, by obtaining a first image captured using a camera associated with the eye tracking system, the first image comprising at least part of an iris and at least part of a pupil of an eye illuminated by an illuminator associated with the eye tracking system at a current power of illumination selected from a set of predetermined power levels; determining a contrast value between an the iris and the pupil in the image; and, if the contrast value deviates less than a preset deviation threshold value from a preset minimum contrast value, setting the current power of illumination of the illuminator to the other predetermined power level in the set of predetermined power levels. 1) A method for controlling an eye tracking system , the method comprising:obtaining, in the eye tracking system, a first image captured using a camera associated with the eye tracking system, the first image comprising at least part of an iris and at least part of a pupil of the eye illuminated by an illuminator associated with the eye tracking system at a current power of illumination selected from a set of a first predetermined power level and a second predetermined power level, wherein the value of the first predetermined power level is different from the value of the second predetermined power level;obtaining, in the eye tracking system, pixel coordinates of at least one pixel in the first image that is associated with the iris of the eye and pixel coordinates of at least one pixel associated with the pupil of the eye;{'sub': 1', '2', '1', '2, 'determining, by the eye tracking system, a contrast value of the first image as a function f(x, x), wherein xis an intensity value of the at least one pixel in the first image that is associated with the iris and wherein xis an intensity value of the at least ...

Tile Image Based Scanning for Head Position for Eye and Gaze Tracking

An eye tracking method comprising: capturing image data by an image sensor; determining a region of interest as a subarea or disconnected subareas of said sensor which is to be read out from said sensor to perform an eye tracking based on the read out image data; wherein said determining said region of interest comprises: a) initially reading out only a part of the area of said sensor; b) searching the image data of said initially read out part for one or more features representing the eye position and/or the head position of a subject to be tracked; c) if said search for one or more features has been successful, determining the region of interest based on the location of the successfully searched one or more features, and d) if said search for one or more features has not been successful, reading out a further part of said sensor to perform a search for one or more features representing the eye position and/or the head position based on said further part. 1. A method comprising:retrieving first image data corresponding to a first portion of an image sensor;searching the first image data for one or more tracking features representing the eye position and/or the head position of a subject to be tracked;determining, based on searching the first image data, that the first image data lacks the one or more tracking features;in response to determining that the first image data lacks the one or more tracking features, retrieving second image data corresponding to a second portion of the image sensor, wherein the second portion is different than the first portion; andsearching at least the second image data for the one or more tracking features.2. The method of claim 1 , wherein the first portion of the image sensor is selected based on a location of one or more previously detected tracking features.3. The method of claim 1 , wherein the first portion of the image sensor is selected independent of locations of previously detected tracking features.4. The method of claim 1 , ...

Sparse simultaneous localization and matching with unified tracking

Described herein are methods and systems for tracking a pose of one or more objects represented in a scene. A sensor captures a plurality of scans of objects in a scene, each scan comprising a color and depth frame. A computing device receives a first one of the scans, determines two-dimensional feature points of the objects using the color and depth frame, and retrieves a key frame from a database that stores key frames of the objects in the scene, each key frame comprising map points. The computing device matches the 2D feature points with the map points, and generates a current pose of the objects in the color and depth frame using the matched 2D feature points. The computing device inserts the color and depth frame into the database as a new key frame, and tracks the pose of the objects in the scene across the scans.

Method for the Assessment of Possible Trajectories

A method for assessing possible trajectories of road users in a traffic environment includes capturing the traffic environment with static and dynamic features, identifying at least one traffic user, determining at least one possible trajectory for at least one road user in the traffic environment, and assessing the at least one determined possible trajectory for the at least one road user with an adapted/trained recommendation service and the captured traffic environment. 1. A method for assessing possible trajectories of road users in a traffic environment comprising:capturing the traffic environment with static and dynamic features;identifying at least one road user;determining at least one possible trajectory for the at least one road user in the traffic environment; andassessing the at least one determined possible trajectory for the at least one road user using an adapted/trained recommendation service and the captured traffic environment.2. The method according to claim 1 , wherein the recommendation service is adapted to assess possible trajectories using a large number of corresponding combinations of assessed observed trajectories claim 1 , different traffic environments claim 1 , and the at least one determined possible trajectory.3. The method according to claim 1 , wherein the recommendation service is a collaborative recommendation service and has a neural network with at least one convolution layer or a recursive neural network or is based on a K-nearest neighbor method.4. The method according to claim 2 , wherein:the recommendation service is a collaborative recommendation service and has a neural network, andthe neural network has a first autoencoder configured to capture the traffic environment and a second autoencoder configured to capture the possible trajectories.5. The method according to claim 2 , wherein:the recommendation service is a collaborative recommendation service and is based on a K-nearest neighbor method, andvectors of the K- ...

MOTION DETERMINATION SYSTEM AND METHOD THEREOF

Methods and apparatus for determining the motion of a movable object are disclosed. The methods may include, in a view of the environment outside the movable object, identifying a first region of interest (ROI) corresponding to a static portion of the environment. The methods may also include, in the view of the environment, identifying a second region of interest (ROI) corresponding to an active portion of the environment. The methods may also include receiving first and second image data respectively representing the first and second ROIs. The methods may also include analyzing the first image data over time. The methods may also include analyzing the second image data over time. The methods may further include determining whether the movable object is in motion based on the analyses of the first and second image data. 1. A method of determining movement of a movable object , comprising:in a view of an environment outside the movable object, identifying a first region of interest (ROI) corresponding to a static portion of the environment;in the view of the environment, identifying a second region of interest (ROI) corresponding to an active portion of the environment;receiving first and second image data respectively representing the first and second ROIs;analyzing the first image data over time;analyzing the second image data over time; anddetermining whether the movable object is in motion based on the analyses of the first and second image data.2. The method of claim 1 , comprising generating the first and second image data by imaging equipment on the movable object.3. The method of claim 1 , wherein the determining comprises concluding that the movable object is not in motion if a change over time of the first image data is less than a change over time of the second image data.4. The method of claim 1 , wherein:the movable object is a vehicle;the second ROI covers at least an area in which traffic can be observed; andthe first ROI covers at least an area in ...

EVENT-BASED FEATURE TRACKING

Methods, systems and computer readable media for implementing a soft data association modeled with probabilities. The association probabilities are computed in an intertwined EM scheme with the optical flow computation that maximizes the expectation (marginalization) over all associations. In addition, longer tracks can be enabled by computing the affme deformation with respect to the initial point and use the resulting residual as a measure of persistence. The computed optical flow enables a varying temporal integration different for every feature and sized inversely proportional to the length of the flow. The results can be seen in egomotion and very fast vehicle sequences. 1. A method for tracking features in image data , the method comprising:detecting, over a period of time, a plurality of asynchronous events from an asynchronous event-based sensor;initializing one or more features in the image data by integrating events from an initial temporal window into an initial image and detecting the one or more features in the initial image;tracking the one or more features after the initial temporal window, including assigning events, corresponding to temporal windows after the initial temporal window, to the one or more features by determining, for each event and each point within the feature, a probability that the event is associated with the point; andidentifying, based on the tracking, motion of one or more physical objects.2. The method of claim 1 , wherein tracking the one or more features comprises estimating an optical flow for each feature describing motion of the feature in an image plane over a spatiotemporal window.3. The method of claim 2 , wherein estimating an optical flow comprises solving a constraint based on grouping events generated from the same point over the spatiotemporal window and a corresponding set of events using an Expectation Maximization algorithm.4. The method of claim 1 , wherein initializing the one or more features comprises claim ...

IMAGE DETECTION DEVICE, IMAGE DETECTION METHOD AND STORAGE MEDIUM STORING PROGRAM

Provided are an image detection device, an image detection method and a program, which are capable of improving correspondence to a target deformation by optimizing a template shape, when performing target detection using template matching. An image detection device for detecting a target from an input image comprises: a template generation unit that generates a template for detecting a target; a mask generation unit that generates a mask which shields a portion of the template, on the basis of temporal variations of a feature point extracted from an area including the image target; and a detection unit that detects the target from the image using the template a portion of which is shielded by the mask. 2. The image detection device according to claim 1 , whereinthe at least one processor is further configured to:calculate moving directions to second feature points in a second image from the respective feature points, the second feature points corresponding to the respective feature points;determine at most frequent moving direction among the moving directions;determine whether occurring number of the most frequent moving direction is equal to or larger than a half of a total number of the moving directions;count the second feature points moving in the most frequent direction in each of the subregions when the occurring number is not equal to or larger than the total number;count the second feature points in each of the subregions when the occurring number is equal to or larger than the total number; andgenerate the mask based on a counted number of the second feature points in each of the subregions.3. The image detection device according to claim 1 , whereinthe at least one processor is further configured to:identify, in a second image, second feature points corresponding to the feature points, andidentify, as the area including the target, a rectangle enclosing regions in which the second feature points are distributed.4. The image detection device according to ...

IMAGE DETECTION DEVICE, IMAGE DETECTION METHOD AND STORAGE MEDIUM STORING PROGRAM

Provided are an image detection device, an image detection method and a program, which are capable of improving correspondence to a target deformation by optimizing a template shape, when performing target detection using template matching. An image detection device for detecting a target from an input image comprises: a template generation unit that generates a template for detecting a target; a mask generation unit that generates a mask which shields a portion of the template, on the basis of temporal variations of a feature point extracted from an area including the image target; and a detection unit that detects the target from the image using the template a portion of which is shielded by the mask. 1. An image detection device comprising:at least one memory that stores a set of instructions; andat least one processor configured to execute the set of instructions to:generate a template for detecting a target;divide an area in an input image into subregions, the area including the target;extract centers of the subregions as feature points;generate a mask partly shielding the template based on temporal variation of the feature points; anddetect the target from the image by using the template partly shielded by the mask.2. The image detection device according to claim 1 , whereinthe at least one processor is further configured to:identify, in a second image, second feature points corresponding to the feature points; andidentify, as the area including the target, a rectangle enclosing regions in which the second feature points are distributed.3. The image detection device according to claim 1 , whereinthe at least one processor is further configured to:calculate moving directions to second feature points in a second image from the respective feature points, the second feature points corresponding to the respective feature points;determine a most frequent moving direction among the moving directions;determine whether occurring number of the most frequent moving ...

OBJECT TRACKING DEVICE

An object tracking device includes a superimposed image creation unit configured to create a plurality of superimposed images in which each of a plurality of non-tracking object images which do not include a tracking object image feature is superimposed on a tracking object section image which includes a tracking object image feature; a discriminator creation unit configured to learn at least one of an image feature and position information of the tracking object, based on the plurality of superimposed images to create a discriminator; and a tracking object specifying unit configured to specify at least one of the image feature and the position information of the tracking object in a tracked image including the respective image features of the tracking object and an obstacle, based on the discriminator and the tracked image. 1. An object tracking device comprising:a superimposed image creation unit configured to create a plurality of superimposed images in which each of a plurality of non-tracking object images which do not include an image feature of a tracking object is superimposed on a tracking object section image which includes the image feature of the tracking object;a discriminator creation unit configured to learn at least one of an image feature and position information of the tracking object, based on the plurality of superimposed images to create a discriminator; anda tracking object specifying unit configured to specify at least one of the image feature and the position information of the tracking object in a tracked image including the image feature of the tracking object, based on the discriminator and the tracked image.2. The object tracking device according to claim 1 , comprising:an input unit configured to previously input a teacher image which specifies the image feature of the tracking object; andthe discriminator creation unit configured to learn at least one of the image feature and the position information of the tracking object, based on the ...

METHOD AND SYSTEM FOR IMAGE PROCESSING

Provided is an image processing method and system. More particularly, provided are an image processing method and system that may map a facial expression of a user, a specific event, etc., to a character in real time by mapping an object such as a face of a user included in an input image to a virtual object such as a face of a specific character, and by applying an event corresponding to a combination of components defined for the object to the virtual object, and a non-transitory computer-readable recording medium that, when executed by a processor, cause the processor to implement the image processing method in conjunction with a computer device. 1. A non-transitory computer-readable recording medium storing instructions that , when executed by a processor , cause the processor to implement an image processing method in conjunction with a computer , the image processing method comprising:extracting landmark information of an object included in an input image;mapping the object included in the input image to a virtual object based on the landmark information;determining values of a plurality of components with respect to the object based on the landmark information;determining an event corresponding to a combination of the determined values of the plurality of components; andapplying the determined event to the virtual object.2. The non-transitory computer-readable recording medium of claim 1 , wherein the plurality of components comprises a plurality of landmark components included in the object and a plurality of angular components representing a rotation of the object.3. The non-transitory computer-readable recording medium of claim 2 , wherein:the image processing method further comprises setting and managing a plurality of shape values representing two or more different shapes for one or more of the plurality of landmark components; andthe determining a values of the plurality of components comprises determining a shape value corresponding to a shape of a ...

Apparatus and method for detecting event based on deterministic finite automata in soccer video

An apparatus and method for detecting an event includes extracting at least one of position information and motion information of at least one object from a soccer video including the at least one object, causing a state of the at least one object to transition based on at least one of the position information and the motion information of the at least one object according to object-specific state transition rules, and when the state of the at least one object becomes a final state, detecting a soccer event corresponding to the final state. Accordingly, it is possible to concretely and accurately recognize events that may occur in a soccer game using deterministic finite automata (DFA) pre-determined according to object.

NONINVASIVE, LABEL-FREE, IN VIVO FLOW CYTOMETRY USING SPECKLE CORRELATION TECHNIQUE

A system and method for performing speckle correlation flow cytometry (SCFC). By subtracting out the stationary background when shining light through a sample (e.g., a vessel within a biological tissue), light only scattered by the desired targets (e.g., cells) can be captured and different types of targets (e.g., cells) can be distinguished by the autocorrelation of the speckle pattern. In this way, the targets (e.g., cells) can be classified and counted based on the features of their speckle correlations. The technique can be applied not only for noninvasive, label-free, in vivo CTC counting but also for counting other types of blood cells such as white blood cells or red blood cells. 1. An apparatus , comprising:a source of spatially incoherent electromagnetic radiation;a detector positioned to detect:a first speckle pattern comprising the spatially incoherent electromagnetic radiation transmitted through a region of a sample including a moving target at a first moment in time;a second speckle pattern comprising the spatially incoherent electromagnetic radiation transmitted through the region of the sample including the moving target at a second moment in time; andthe detector outputting a first signal in response to the first speckle pattern and a second signal in response to the second speckle pattern; andan electronic circuit connected to the detector, wherein the circuit determines a difference between the first signal and the second signal used to identify the moving target.2. The apparatus of claim 1 , wherein the circuit:autocorrelates the difference to form an autocorrelation, anddetermines an image of the moving target in the sample from the autocorrelation using a phase retrieval process.3. The apparatus of claim 1 , wherein the source includes a spatial light modulator.4. The apparatus of claim 3 , wherein the spatial light modulator outputs the spatially incoherent electromagnetic radiation comprising a set of spatially uncorrelated phase maps.5. The ...

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

An information processing apparatus acquires first physical makeup information representing a physical makeup of a first object. The first physical makeup information is information generated based on images obtained by imaging the first object with a plurality of imaging apparatuses in a plurality of directions. The information processing apparatus acquires second physical makeup information representing a physical makeup of a second object and motion information representing motion of a plurality of parts of the second object. The information processing apparatus generates motion information associated with the first physical makeup information based on the second physical makeup information and the motion information relating to the second object. 1. An information processing apparatus , comprising:a first acquisition unit configured to acquire first physical makeup information representing a physical makeup of a person as a first object, the first physical makeup information generated based on images obtained by imaging the first object with a plurality of imaging apparatuses in a plurality of directions;a second acquisition unit configured to acquire second physical makeup information representing a physical makeup of a person as a second object and motion information representing motion of a plurality of parts of the second object; anda generation unit configured to generate motion information associated with the acquired first physical makeup information based on the acquired second physical makeup information and the acquired motion information representing the motion of the plurality of parts of the second object.2. The information processing apparatus according to claim 1 , further comprising a display control unit configured to display claim 1 , on a display unit claim 1 , a first image representing motion of the first object based on the imaging of the first object and a second image based on the generated motion information associated with the acquired ...

Multiple targets-tracking method and apparatus, device and storage medium

The present disclosure provides a multiple targets-tracking method and apparatus, a device and a storage medium, wherein the method comprises: obtaining a to-be-processed current image, inputting the current image into a convolutional neural network model obtained by pre-training, and obtaining a target detection result; respectively extracting feature vectors of each detected target from a pre-selected convolutional layer; respectively calculating a similarity between the feature vectors of each target in the current image and feature vectors of each target of previous images, completing association of the same target between different image frames according to calculation results, and allocating a tracking serial number. The solution of the present disclosure may be applied to meet requirements for real-time processing.

Method and system for reducing localized artifacts in imaging data

A method and system for reducing localized artifacts in imaging data, such as motion artifacts and bone streak artifacts, are provided. The method includes segmenting the imaging data to identify one or more suspect regions in the imaging data near which localized artifacts are expected to occur, defining an artifact-containing region of interest in the imaging data around each suspect region, and applying a local bias field within the artifact-containing regions to correct for the localized artifacts.

THREE-DIMENSIONAL MOTION OBTAINING APPARATUS AND THREE-DIMENSIONAL MOTION OBTAINING METHOD

A three-dimensional motion obtaining apparatus includes: a light source; a charge amount obtaining circuit that includes pixels and obtains, for each of the pixels, a first charge amount under a first exposure pattern and a second charge amount under a second exposure pattern having an exposure period that at least partially overlaps an exposure period of the first exposure pattern; and a processor that controls a light emission pattern for the light source, the first exposure pattern, and the second exposure pattern. The processor estimates a distance to a subject for each of the pixels on the basis of the light emission pattern and on the basis of the first charge amount and the second charge amount of each of the pixels obtained by the charge amount obtaining circuit, and estimates an optical flow for each of the pixels on the basis of the first exposure pattern, the second exposure pattern, and the first charge amount and the second charge amount obtained by the charge amount obtaining circuit. 1. A three-dimensional motion obtaining apparatus comprising:a light source;a charge amount obtaining circuit that includes pixels and obtains, for each of the pixels, a first charge amount under a first exposure pattern and a second charge amount under a second exposure pattern having an exposure period that at least partially overlaps an exposure period of the first exposure pattern; anda processor that controls a light emission pattern for the light source, the first exposure pattern, and the second exposure pattern, whereinthe processorestimates a distance to a subject for each of the pixels of the charge amount obtaining circuit on the basis of the light emission pattern and on the basis of the first charge amount and the second charge amount of each of the pixels of the charge amount obtaining circuit obtained by the charge amount obtaining circuit,estimates an optical flow for each of the pixels of the charge amount obtaining circuit on the basis of the first ...

MAPPING AND TRACKING SYSTEM WITH FEATURES IN THREE-DIMENSIONAL SPACE

LK-SURF, Robust Kalman Filter, HAR-SLAM, and Landmark Promotion SLAM methods are disclosed. LK-SURF is an image processing technique that combines Lucas-Kanade feature tracking with Speeded-Up Robust Features to perform spatial and temporal tracking using stereo images to produce 3D features can be tracked and identified. The Robust Kalman Filter is an extension of the Kalman Filter algorithm that improves the ability to remove erroneous observations using Principal Component Analysis and the X84 outlier rejection rule. Hierarchical Active Ripple SLAM is a new SLAM architecture that breaks the traditional state space of SLAM into a chain of smaller state spaces, allowing multiple tracked objects, multiple sensors, and multiple updates to occur in linear time with linear storage with respect to the number of tracked objects, landmarks, and estimated object locations. In Landmark Promotion SLAM, only reliable mapped landmarks are promoted through various layers of SLAM to generate larger maps. 1. A system for creating a map of a high-dimensional area and locating the system on the map , the system comprising:a processor; and create a state associated with stereo images of the area to be mapped;', 'process a first stereo image to identify a visual feature within the area, wherein the first stereo image is associated with a first pose of the system;', 'process a second stereo image to determine whether the visual feature is absent from the area in the second stereo image, wherein the second stereo image is associated with a second pose of the system;', 'remove, based on the determination, the first pose and the visual feature from the state and send the first pose and the visual feature to a mapping module configured to maintain a structure that correlates poses and visual features; and', 'create a map of the area and at least one location of the system on the map., 'a memory communicatively coupled to the processor when the system is operational, the memory bearing ...

MOBILE DEVICE INFERENCE AND LOCATION PREDICTION OF A MOVING OBJECT OF INTEREST

A first set of data may be received indicating that an object of interest has been identified. A second set of data may be received indicating a first location of where the object of interest was identified. The first location may correspond to a geographical area. In response to the receiving of the first set of data and the second set of data, the first location may be associated with a first transceiver base station. In response to the associating, a first list of one or more mobile devices may be obtained that are within an active range of the first transceiver base station. 1. A computer program product comprising a computer readable storage medium having program code embodied therewith , the program code executable by a computing device to:receive a first set of data indicating that an object of interest has been identified;receive a second set of data indicating a first location of where the object of interest was identified, the first location corresponding to a geographical area;store the second set of data to a data store, the stored second set of data for use at least for generating an estimate of where an object of interest will move at a later time;associate the first location with a first transceiver base station, wherein the first transceiver base station is in the first location; andobtain, in response to the associating, a first list of one or more mobile devices that are within an active range of the first transceiver base station, wherein the active range corresponds to a signal strength between the one or more mobile devices and the first transceiver base station that exceeds a threshold.2. The computer program product of claim 1 , wherein the program code is further executable by the computing device to:receive a third set of data indicating that the object of interest was identified at a second location;associate, in response to the receiving of the third set of data, the second location with a second transceiver base station;obtain, in ...

ROBUST CALCIFICATION TRACKING IN FLUOROSCOPIC IMAGING

Robust calcification tracking is provided in fluoroscopic imagery. A patient with an inserted catheter is scanned over time. A processor detects the catheter in the patient from the scanned image data. The processor tracks the movement of the catheter. The processor also detects a structure represented in the data. The structure is detected as a function of movement with a catheter. The processor tracks the movement of the structure using sampling based on a previous location of the structure in the patient. The processor may output an image of the structure. 1. A method for structure detection , the method comprising:scanning, over time, an object having an inserted catheter;detecting by a processor, the catheter as represented in data from the scanning;tracking, by the processor, a movement of the catheter;detecting, by the processor, a structure represented in the data from the scanning, the structure detected as a function of movement with the catheter;tracking by the processor, the structure represented in the data from the scanning, the tracking using sampling based on a previous location of the structure; andoutputting, by the processor, an image of the structure.2. The method of claim 1 , wherein the catheter is a pigtail catheter.3. The method of claim 1 , wherein the catheter is located at the aortic root of the object.4. The method of claim 1 , wherein the data from the scanning includes a plurality of fluoroscopic images.5. The method of claim 1 , further comprising:removing the inserted catheter.6. The method of claim 1 , further comprising:constructing a bounding box around the detected structure; andwherein tracking the structure includes sampling within the limits defined by the bounding box.7. The method of claim 1 , wherein the tracking of the structure includes using a discrete structure forest to track features of the structure.8. The method of claim 7 , wherein tracking the structure comprises tracking the density of the structure claim 7 , ...

RATING INTERFACE FOR BEHAVIORAL IMPACT ASSESSMENT DURING INTERPERSONAL INTERACTIONS

A rating interface system and method are provided that allow human users to continuously rate the impact they or other human users and/or their avatars are having on themselves or others during interpersonal interactions, such as conversations or group discussions. The system and method provide time stamping of users' ratings data and audio and video data of an interaction, and correlate the ratings data with the audio and video data at selected time intervals for subsequent analysis. 1. A system for providing a rating interface during an interpersonal interaction between at least a first user or an avatar thereof and a second user or an avatar thereof , comprising:an input device for transmitting ratings data input from the first user of an assessment of the second user during the interpersonal interaction, the input device configured to differentiate user inputs as numerical values; anda processor, communicatively coupled to the input device to receive the ratings data, and memory, and machine-readable instructions stored in the memory that, upon execution by the processor cause the system to carry out an operation comprising time stamping the ratings data transmitted from the input device during the interpersonal interaction.2. The system of claim 1 , wherein the processor is operative to discretize the ratings data from the input device into two or more rating bands claim 1 , each rating band corresponding to a range of input numerical values received from the input device during the interpersonal interaction.3. The system of claim 2 , wherein the rating bands comprise a positive rating band corresponding to an input positive assessment claim 2 , a negative rating band corresponding to an input negative assessment claim 2 , and a neutral rating band corresponding to an input neutral assessment.4. The system of claim 1 , further comprising:an audio device for transmitting audio data of the second user or the avatar thereof; anda video device for transmitting ...

Image Capture and Identification System and Process

A digital image depicting a digital representation of a scene is captured by an image sensor of a vehicle. An identification system recognizes a real-world object from the digital image as a target object based on derived image characteristics and identifies object information about the target object based on the recognition. The identification provides the object information to the vehicle data system of the vehicle so that the vehicle data system can execute a control function of the vehicle based on the received object information. 1. A method for vehicle-based object recognition , comprising:obtaining, by an identification system, image data captured by an image sensor of a vehicle, the image data containing a digital representation of a real-world object within a scene;deriving, by the identification system, image characteristics of the real-world object from the digital representation of the real-world object in the image data;recognizing, by the identification system, the real-world object as a target object based on the derived image characteristics;identifying, by the identification system, object information about the target object based on the recognition;providing, by the identification system and to a vehicle data system of the vehicle, the object information; andexecuting, by the vehicle data system, a control function of the vehicle based on the object information.2. The method of claim 1 , wherein the control function comprises at least one of guidance claim 1 , navigation or maneuvering of the vehicle relative to the real-world object.3. The method of claim 1 , wherein the control function comprises planning claim 1 , by the vehicle data system claim 1 , a trajectory relative to the real-world object.4. The method of claim 1 , wherein the object information comprises at least one of location or orientation of the real-world object relative to the vehicle.5. The method of claim 1 , wherein the real-world object is a street sign.6. The method of claim ...

HIGH-SPEED OPTICAL TRACKING WITH COMPRESSION AND/OR CMOS WINDOWING

A high-speed optical tracking with compression and CMOS windowing for tracking applications that require high-speed and/or low latency when delivering pose (orientation and position) data. The high-speed optical tracking with compression and CMOS windowing generally includes an optical tracking system () that sense fiducial () and by extension markers (). The markers can either be integrated on tools () handled by an operator (e.g. surgeon) () or fixed on the subject to track (e.g. patient) (). The low-level processing () is realized within the tracking system to reduce the overall data to be transferred and considerably reduce the processing efforts. Pose data () are finally computed and transferred to a PC/monitor () or to tablet () to be used by an end-user application (). 128-. (canceled)29. A method for high speed tracking of optical fiducials and markers , comprising:detecting, by at least one optical sensor, at least one fiducial attached to a marker placed on at least one of an object and a person, the at least one optical sensor providing sensor data; transferring the sensor data to a compression module configured to compress the sensor data to form a compressed image, and', 'determining the at least one of the position and orientation of the marker from the compressed sensor data; and, 'determining at least one of the position and orientation of the marker by processing the sensor data, wherein processing the sensor data comprisestransmitting the at least one of the determined position and orientation of the marker through a communication channel as processed data to an application.30. The method as defined in claim 29 , wherein the sensor data comprises partial sensor data comprising sufficient information for determining the at least one of the position and orientation of the marker.31. The method as defined in claim 29 , wherein processing the sensor data further comprises segmenting the compressed sensor data depending on an intensity of a plurality of ...

IMAGE CAPTURE AND IDENTIFICATION SYSTEM AND PROCESS

A computing platform that analyzes a captured video stream to identify a document depicted in the video stream, validates identification information corresponding to the document to display an information address associated with the document, and that initiates a transaction based on the validation of the identification information associated with the document. 1. A method of conducting a financial transaction , the method comprising:analyzing, via at least one computing device processor, a video stream;identifying, via the at least one computing device processor, a document in the video stream;validating, via the at least one computing device processor, identification information pertinent to the document based on the video stream;displaying, via the at least one computing device processor, an information address where the information address is related to the document; andinitiating, via the at least one computing device processor and based on validation of the identification information, a financial transaction related to the document.2. The method of claim 1 , further comprising capturing claim 1 , by a mobile device claim 1 , the video stream.3. The method of claim 1 , wherein identifying the document comprises automatically capturing an image of the document from the video stream.4. The method of claim 3 , wherein identifying the document includes recognizing and decoding symbols according symbol type based on location in the image.5. The method of claim 1 , further comprising displaying a visual indicator with the video stream.6. The method of claim 1 , wherein the information address is associated with the financial transaction.7. The method of claim 1 , wherein the information address is associated with a bank account.8. The method of claim 1 , wherein the document is related to an individual who is a user of a mobile device.9. The method of claim 1 , further comprising allowing a user to perform ongoing interactions related to the financial transaction.10. ...

ADAPTATION OF THE RADIO CONNECTION BETWEEN A MOBILE DEVICE AND A BASE STATION

An apparatus () for a base station () comprising an antenna system () for transmitting a radio signal with devices () located in a beam () associated with said antenna system (); said apparatus comprising detecting means () configured to timely capture a dated image of a geographical zone () at least partly covering said beam (); processing means () configured to determine at least an object () corresponding to said devices () within said image and properties of said objects, including at least one property representing the visibility of said object in said dated image; control means () configured to adapt the radio connection serving said device (), according to said at least one property. 1. An apparatus for a base station comprising an antenna system for transmitting a radio signal with devices located in a beam associated with said antenna system , said apparatus being configured to:timely capture a dated image of a geographical zone at least partly covering said beam;determine at least an object corresponding to said devices within said image and properties of said objects, including at least one property representing the visibility of said object in said dated image; andadapt the radio connection serving said device, according to said at least one property.2. The apparatus according to claim 1 , further comprising at least one video camera capturing a video sequence comprising said dated images.3. The apparatus according to claim 1 , further comprising a detector configured to capture a sequence of dated thermal images.4. The apparatus according to claim 2 , wherein a camera is associated to each antenna of said antenna system claim 2 , and wherein each of said camera is placed and oriented so that they together cover said geographical zone.5. The apparatus according to claim 1 , further configured to determine said object by detecting a correlation in time between an appearance of said object into said geographical zone and a handover of said device to said ...

Method for focusing a camera

Aspects of the present disclosure are directed to a method for focusing a camera. In one embodiment, the method includes: dividing the field of view of the camera in to at least two segments: assigning, in each case, at least one operating element or at least one position of an operating element to the at least two segments; recognizing and tracking at least one object in at least two segments; automatically assigning the recognized at least two objects to the respective operating element or position of the operating element depending on which segment the objects are assigned to; and focusing the camera on the object assigned to the operating element or the position of the operating element in response to the operating element being actuated or the operating element being brought into the corresponding position.

LOCALIZATION AND MAPPING METHOD

A method comprising: obtaining a three-dimensional (3D) point cloud about an object; obtaining binary feature descriptors for feature points in a 2D image about the object; assigning a plurality of index values for each feature point as multiple bits of the corresponding binary feature descriptor; storing the binary feature descriptor in a table entry of a plurality of hash key tables of a database image; obtaining query binary feature descriptors for feature points in a query image; matching the query binary feature descriptors to the binary feature descriptors of the database image; reselecting one bit of the hash key of the matched database image; and re-indexing the feature points in the table entries of the hash key table of the database image. 115-. (canceled)16. A method , comprising:obtaining a three-dimensional (3D) point cloud about an object;obtaining binary feature descriptors for feature points in a 2D image about the object;assigning a plurality of index values for each feature point as multiple bits of the corresponding binary feature descriptor;storing the binary feature descriptor in a table entry of a plurality of hash key tables of a database image;obtaining query binary feature descriptors for feature points in a query image;matching the query binary feature descriptors to the binary feature descriptors of the database image;reselecting one bit of the hash key of the matched database image; andre-indexing the feature points in the table entries of the hash key table of the database image.17. The method according to claim 16 , further comprising:reselecting said one bit of the hash key of the matched database image such that a cost function defining uniformity of sizes of the table entries and a collision rate of matched feature pairs is minimized.18. The method according to claim 17 , wherein said cost function is C=λ(1−p)+1/(1−u′) claim 17 , where λ is a preset weight claim 17 , pis a probability that two matched features coincide at a certain ...

METHOD AND DEVICE FOR MEASURING FLIGHT PARAMETERS OF AN UNMANNED AERIAL VEHICLE

A method and a device for measuring flight parameters of an unmanned aerial vehicle (UAV) are provided, the method includes, capturing images and collecting an angular velocity of the UAC, extracting corner points from a current frame image, estimating an estimated area according to the angular velocity of the UAV, searching for a corresponding corner point in the estimated area, obtaining a speed of each of the corner points, obtaining a pixel velocity, and obtaining an actual speed of the UAV based on the pixel velocity and a flight altitude of the UAV. 118-. (canceled)19. A method of measuring at least one flight parameter of an unmanned aerial vehicle (UAV) , said method comprising:capturing a plurality of frame images by an image sensor;extracting corner points from a current frame image captured at a first time;estimating, for each of the corner points in the current frame image, a corresponding corner point in a previous frame image based on the position of each of the corner points in the current frame image, wherein the previous frame image is captured at a second time before the first time;obtaining a speed of each of the corner points based on each corner point in the current frame image and its corresponding corner point in the previous frame image;obtaining a pixel velocity based on the speeds of the corner points; andobtaining an actual speed of the UAV based on the pixel velocity and a flight altitude of the UAV.20. The method of claim 19 , wherein the step of obtaining the actual speed of the UAV based on the pixel velocity and a flight altitude of the UAV includes obtaining the actual speed of the UAV based on a translational pixel velocity claim 19 , the flight altitude of the UAV claim 19 , and a focal length of a lens in the image sensor.21. The method of claim 20 , wherein the step of estimating claim 20 , for each of the corner points in the current frame image claim 20 , the corresponding corner point in a previous frame image includes: ...

Method and System for Cluster-Based Video Monitoring and Event Categorization

A computing system obtains a respective motion vector for each of a series of motion event candidates in real-time as said each motion event candidate is detected in a live video stream. In response to receiving the respective motion vector for each of the series of motion event candidates, the computing system determines a spatial relationship between the respective motion vector of said each motion event candidate to one or more existing clusters established based on a plurality of previously processed motion vectors, and in accordance with a determination that the respective motion vector of a first motion event candidate of the series of motion event candidates falls within a respective range of at least a first existing cluster of the one or more existing clusters, assigns the first motion event candidate to at least a first event category associated with the first existing cluster.

MOVEMENT MONITORING SYSTEM

A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from an image capturing device. The image capturing device is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive video via the input port and identify a subject within frames of the video relative to a background within the frames. Further, the controller may be configured to identify dimensions, posture, hand location, feet location, and/or other parameters of the identified subject in frames of the video and determine when the subject is performing a task. Based on the dimensions and/or other parameters identified or extracted from the video during the predetermined task, the controller may output via the output port assessment information. 1. A marker-less subject tracking system comprising:an input port for receiving a digital video of a subject; determine a height of the subject in a frame from the digital video;', 'determine a width of the subject in the frame;', 'determine a posture of the subject in the frame based on the height of the subject in the frame and the width of the subject in the frame., 'a controller in communication with the input port, the controller is configured to2. The system of claim 1 , wherein the controller is configured to automatically determine postures of the subject in real time during playback of the digital video.3. The system of claim 1 , wherein the controller is configured to determine the posture of the subject in the digital video based on a normalized height of the subject in the frame and a normalized width of the subject in the frame claim 1 , the height of the subject in the frame and the width of the subject in the frame are normalized based on a standing height of the subject to determine the normalized height of the subject in the frame and the normalized width of the ...

METHOD FOR IDENTIFYING AN OBJECT IN A SURROUNDING REGION OF A MOTOR VEHICLE, DRIVER ASSISTANCE SYSTEM AND MOTOR VEHICLE

The invention relates to a method for identifying an object () in a surrounding region () of a motor vehicle () as a pedestrian (), in which the surrounding region () is captured in images (B) by means of at least one vehicle-side camera (), wherein a shadow () that is projected from the object () onto a ground () in the surrounding region () and a contrast pattern () that is formed on the ground () and depends on the shadow () are detected in at least one of the captured images (B) and the object () is identified on the basis of a comparison of the contrast pattern () that was formed with a predetermined contrast pattern that characterizes a pedestrian (). The invention moreover relates to a driver assistance system () and a motor vehicle (). 1. A method for identifying an object in a surrounding region of a motor vehicle as a pedestrian , the method comprising:capturing the surrounding region in images by means of at least one vehicle-side camera;detecting a shadow that is projected from the object onto a ground in the surrounding region and a contrast pattern that is formed on the ground and depends on the shadow in at least one of the captured images; andidentifying the object on the basis of a comparison of the contrast pattern that was formed with a predetermined contrast pattern that characterizes a pedestrian.2. The method according to claim 1 , wherein the object is identified as a pedestrian if two dark stripes that extend substantially parallel to one another and a brighter stripe lying therebetween are detected as the predetermined contrast pattern in the contrast pattern that depends on the shadow of the object.3. The method according to claim 2 , wherein the object is identified as a pedestrian if an orientation of at least one of the stripes is captured as deviating by no more than a predetermined angle from a detection axis of the camera.4. The method according to claim 2 , wherein a respective length and/or a respective width of the stripes is ...

SYSTEM AND METHOD FOR OPTICAL TRACKING

A method, electronic device, and non-transitory computer readable medium for optical tracking are provided. The method includes identifying at least one object within an environment, from received image data. The method also includes assigning a volatility rating to the identified object. Additionally, the method includes determining one or more tracking points associated with the identified object. The method also includes determining a priority rating for the each of the one or more tracking points associated with the identified object based on the assigned volatility rating of the identified object. The method also includes selecting the one or more tracking points for optical tracking based on the priority rating. 1. A method for optical tracking , the method comprising:identifying at least one object within an environment, from received image data;assigning a volatility rating to the identified object;determining one or more tracking points associated with the identified object;determining a priority rating for the each of the one or more tracking points associated with the identified object based on the assigned volatility rating of the identified object; andselecting the one or more tracking points for optical tracking based on the priority rating.2. The method of claim 1 , further comprising:generating, the volatility rating for the identified object based on a tendency of the identified object to move within the environment.3. The method of claim 1 , wherein identifying the object claim 1 , further comprises:segmenting the environment to derive each object of the at least one object; andidentifying each of the derived objects based on object recognition.4. The method of claim 1 , further comprising:detecting and identifying a second object within the environment;assigning a volatility rating to the second object;determining one or more tracking points associated with the second object; anddetermining a priority rating for each of the one or more tracking ...

Mobile Device Localization In Complex, Three-Dimensional Scenes

The present embodiments relate to localizing a mobile device in a complex, three-dimensional scene. By way of introduction, the present embodiments described below include apparatuses and methods for using multiple, independent pose estimations to increase the accuracy of a single, resulting pose estimation. The present embodiments increase the amount of input data by windowing a single depth image, using multiple depth images from the same sensor, and/or using multiple depth image from different sensors. The resulting pose estimation uses the input data with a multi-window model, a multi-shot model, a multi-sensor model, or a combination thereof to accurately estimate the pose of a mobile device.

MONITORING SYSTEM

A monitoring system includes an imaging unit configured to capture a depth image including a distance to a monitoring target person in a vehicle cabin, an estimation unit configured to estimate a three-dimensional human body model of the monitoring target person from the depth image captured by the imaging unit, and a monitoring unit configured to detect a get-off motion by monitoring a motion of a monitoring target portion of the human body model approaching the monitoring coordinate regarding a door manipulation in the cabin on the basis of the human body model estimated by the estimation unit. 1. A monitoring system comprising:an imaging unit configured to capture a depth image including a distance to a monitoring target person in a cabin of a vehicle;an estimation unit configured to estimate a three-dimensional human body model of the monitoring target person from the depth image captured by the imaging unit; anda monitoring unit configured to detect a get-off motion of the monitoring target person by monitoring a motion of a monitoring target portion of the three-dimensional human body model approaching a monitoring coordinate regarding a door manipulation in the cabin on the basis the three-dimensional human body model estimated by the estimation unit.2. The monitoring system according to claim 1 , whereinthe monitoring unit detect the get-off motion by monitoring a motion of the monitoring target portion positioned inside a monitoring region of the cabin approaching the monitoring coordinate with respect to the monitoring coordinate, and does not detect a motion of the monitoring target portion positioned outside the monitoring region approaching the monitoring coordinate as the get-off motion.3. The monitoring system according to claim 1 , whereinthe monitoring coordinate is three-dimensional coordinates of a door knob in the cabin, andthe monitoring target portion is a hand of the monitoring target person.4. The monitoring system according to claim 2 , ...

SQUASH TRAINING SYSTEM

A squash training system includes a sport sensor. The sport sensor includes a sensing unit configured to detect a motion of a racquet and generate three-dimensional (3D) motion data associated with the motion. The sport sensor also includes a memory configured to store the 3D motion data and a communication interface configured to transmit the 3D motion data to a terminal device. The squash system also includes at least one processor configured to receive the 3D motion data from the sport sensor and determine, based on the 3D motion data, at least one characteristic associated with the motion. The processor is also configured to render a graphical representation of the characteristic on a display. 1. A method for assisting squash training , comprising:detecting, by a sport sensor, a motion of a racquet;generating motion data associated with the motion, wherein the motion data comprise a motion profile in a form of a first series of fundamental waveforms;comparing the first series of fundamental waveforms of the motion profile with a plurality of reference profiles each comprising a second series of fundamental waveforms, each of the plurality of reference profiles being associated with a different category of swing, and the second series of fundamental waveforms of each of the plurality of reference profiles being different; anddetermining a type of swing associated with the motion from the different categories of swings based at least in part on the comparison of the first series of fundamental waveforms of the motion profile with the second series of fundamental waveforms of each of the plurality of reference profiles.2. The method of claim 1 , wherein the motion data comprise linear motion data.3. The method of claim 1 , wherein the motion data comprise angular motion data.4. The method of claim 1 , comprising:detecting, by the sport sensor, an impact between a squash ball and the racquet or between the squash ball and strings of the racquet;generating impact ...

Systems and methods to improve data clustering using a meta-clustering model

Systems and methods for clustering data are disclosed. For example, a system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data from a client device and generating preliminary clustered data based on the received data, using a plurality of embedding network layers. The operations may include generating a data map based on the preliminary clustered data using a meta-clustering model. The operations may include determining a number of clusters based on the data map using the meta-clustering model and generating final clustered data based on the number of clusters using the meta-clustering model. The operations may include and transmitting the final clustered data to the client device.

Systems and methods for hyperparameter tuning

A model optimizer is disclosed for managing training of models with automatic hyperparameter tuning. The model optimizer can perform a process including multiple steps. The steps can include receiving a model generation request, retrieving from a model storage a stored model and a stored hyperparameter value for the stored model, and provisioning computing resources with the stored model according to the stored hyperparameter value to generate a first trained model. The steps can further include provisioning the computing resources with the stored model according to a new hyperparameter value to generate a second trained model, determining a satisfaction of a termination condition, storing the second trained model and the new hyperparameter value in the model storage, and providing the second trained model in response to the model generation request.

Systems and methods to identify neural network brittleness based on sample data and seed generation

Systems and methods for determining neural network brittleness are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving a modeling request comprising a preliminary model and a dataset. The operations may include determining a preliminary brittleness score of the preliminary model. The operations may include identifying a reference model and determining a reference brittleness score of the reference model. The operations may include comparing the preliminary brittleness score to the reference brittleness score and generating a preferred model based on the comparison. The operations may include providing the preferred model.

Object tracking device and object tracking method

A congestion degree estimating unit ( 12 ) which estimates, for each image frame, a congestion degree of an area in which each object detected by an object detecting unit ( 11 ) is present is provided. An object selecting unit ( 13 ) refers to an estimation result of the congestion degree by the congestion degree estimating unit ( 12 ) for each image frame, and selects an object present in an area the congestion degree of which is equal to or lower than a first threshold out of one or more objects detected by the object detecting unit ( 11 ).

SYSTEMS AND METHODS FOR OFFLOADING IMAGE-BASED TRACKING OPERATIONS FROM A GENERAL PROCESSING UNIT TO A HARDWARE ACCELERATOR UNIT

The disclosed computer-implemented method for offloading image-based tracking operations from a general processing unit to a hardware accelerator unit may include (1) sending imaging data from an imaging device to a hardware accelerator unit, and (2) directing the hardware accelerator unit to generate a multi-scale representation of the imaging data sent from the imaging device, (3) preparing a set of input data for a set of image-based tracking operations, and (4) directing the hardware accelerator unit to execute the set of image-based tracking operations using the generated multi-scale representation of the imaging data and the prepared set of input data. Various other methods, systems, and computer-readable media are also disclosed. 1. A computer-implemented method comprising:sending imaging data from an imaging device to a hardware accelerator unit;directing the hardware accelerator unit to generate a multi-scale representation of the imaging data sent from the imaging device;preparing a set of input data for a set of image-based tracking operations that are configured to track a position of an object within an environment, the input data including an image of the environment and sensor data from one or more sensors; and identifying a predicted position for one or more points in the image of the environment that were predicted to be visible within the image based at least in part on the sensor data; and', 'determining that the one or more points in the image are in the identified predicted position., 'directing the hardware accelerator unit to execute the set of image-based tracking operations using the generated multi-scale representation of the imaging data and the prepared set of input data, wherein the image-based tracking operations track the position of the object within the environment by2. The computer-implemented method of claim 1 , wherein the hardware accelerator unit comprises at least one of:a digital signal processor (DSP); oran application- ...

Object detection apparatus, object detection method, object detection program, and device control system mountable to moveable apparatus

An object detection apparatus mountable to a moveable apparatus for detecting an object existing outside the moveable apparatus by capturing a plurality of images sequentially along a time line by using a plurality of imaging devices mounted to the moveable apparatus and generating a disparity image from the captured images includes a surface detection unit to detect a surface where the moveable apparatus moves thereon based on the disparity image, an object detection unit to detect an object existing on the surface based on the surface detected by the surface detection unit, an object tracking unit to track the object in the disparity image along the time line based on the object detected by the object detection unit, and a surface correction unit to correct the surface detected by the surface detection unit based on the object tracked by the object tracking unit.

MOBILE DEVICE INFERENCE AND LOCATION PREDICTION OF A MOVING OBJECT OF INTEREST

A first set of data may be received indicating that an object of interest has been identified. A second set of data may be received indicating a first location of where the object of interest was identified. The first location may correspond to a geographical area. In response to the receiving of the first set of data and the second set of data, the first location may be associated with a first transceiver base station. In response to the associating, a first list of one or more mobile devices may be obtained that are within an active range of the first transceiver base station. 1. A computer-implemented method comprising:receiving, by a computing system, a first set of data indicating that an object of interest has been identified;receiving, by the computing system, a second set of data indicating a first location of where the object of interest was identified, the first location corresponding to a geographical area;associating, by the computing system and in response to the receiving of the first set of data and the second set of data, the first location with a first transceiver base station;obtaining, by the computing system and in response to the associating, a first list of one or more mobile devices that are within an active range of the first transceiver base station; andgenerating a first location prediction estimate of where the object of interest will move at a future time bases on at least the identifying of the object of interest at the first location.2. The method of claim 1 , further comprising:receiving a third set of data indicating that the object of interest was identified at a second location;associating, by the computing device and in response to the receiving of the third set of data, the second location with a second transceiver base station;obtaining, by the computing device and in response to the associating the second location with a second transceiver base station, a second list of one or more mobile devices within an active range of the ...

Dynamic analysis apparatus

A dynamic analysis apparatus includes: an obtainment unit configured to set a region of interest in dynamic images obtained by photographing a dynamic state by irradiation of a check target part with radial rays, and obtain movement information on movement of the region of interest; a determination unit configured to determine an emphasis level of a pixel signal value of an attentional pixel corresponding to a pixel in the region of interest on the basis of the movement information of the region of interest obtained by the obtainment unit; and a correction unit configured to correct the pixel signal value of the attentional pixel of the dynamic images or analysis result images generated by analyzing the dynamic images, on the basis of the emphasis level determined by the determination unit.

Video identification and analytical recognition system

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.

FULL SCALE PRACTICE AND TRAINING SYSTEM, METHOD AND SOFTWARE MEDIUM UTILIZING PROGRAMMABLE CHASSIS DRIVEN DRONES AND TACKLING DUMMIES IN SINGULAR AND MULTIPLE VARIANTS SUCH AS USE BY POSITIONAL PLAYERS IN SOLE AND TEAM-BASED SPORTS AS WELL AS OTHER NON-ATHLETIC TRAINING APPLICATIONS

A system for providing full scale participant practice and instruction by at least one self-propelling drone including a control platform incorporating a first processor. A second processor is incorporated into the drone which is in operative communication with the control platform, the second processor receiving a stream of instructions for operating a powered drive chassis incorporated into the drone for traversing the drone upon a practice surface during a training iteration. The stream of instructions includes at least one algorithmic protocol for instructing the drive chassis to execute a progression of movements either mimicking or responding to physical movements of a physical participant engaged in the training iteration. 1. A management system for providing full scale participant practice and instruction by at least one self-propelling drone , said system comprising:a control platform incorporating a first processor;a second processor incorporated into the drone which is in operative communication with the control platform, the second processor receiving and sending sensor information and a stream of instructions for operating a powered drive chassis incorporated into the drone for traversing the drone upon a practice surface during a training iteration; andthe stream of instructions including at least one algorithmic protocol for instructing the drive chassis to execute a progression of movements for at least one of mimicking and adaptively responding to physical movements of a participant engaged in the training iteration.2. The management system as described in claim 1 , further comprising said first and second processors further providing a replay component of said control platform for collecting data associated with each preceding training iteration for any of display claim 1 , comparison or analysis upon a remote visual display device.3. The management system as described in claim 1 , further comprising said control platform coordinating independent ...

REAL-TIME ROPE/CABLE/BELT SWAY MONITORING SYSTEM FOR ELEVATOR APPLICATION

Depth cameras may be placed within an elevator car hoistway to capture depth images of the elevator rope. 3D sensing software may be used to identify the rope within the depth images and assign tracking points to locations along the rope. Tracked images are saved over time and compared to prior tracked images to determine the movement of tracked points between images. Movement of tracked points may be used to determine the velocity, acceleration, frequency of wave motion, and other characteristics of the rope during a period of time. When measured characteristics exceed specified thresholds, the system may take one or more actions to mitigate the undesirable behavior or provide notification of the undesirable behavior. 1. An apparatus comprising:an elevator hoistway;an elevator rope situated within the elevator hoistway;an elevator car attached to the elevator rope;a motor operable to raise and lower the elevator car within the elevator hoistway;an imaging device situated within the elevator hoistway, wherein the elevator rope is within the field of view of the imaging device, and wherein the imaging device is capable of capturing three dimensional depictions of objects within its field of view;an image processing device configured to receive imaging data from the imaging device; anda controller in communication with the image processing device, the controller configured to operate the motor;wherein the image processing device is configured to:determine a reference position of the elevator rope at a reference time based upon a reference set of imaging data;determine a current position of the elevator rope at a current time based upon a current set of imaging data;determine a change in position of the elevator rope between the reference position and the current position; andbased upon the change of position and the elapsed time between the reference time and the current time, determine a set of motion characteristics for the elevator rope; andwherein the controller ...

APPARATUS AND METHOD FOR IMAGE GUIDED ACCURACY VERIFICATION

A method includes receiving during a first time interval associated with a path of motion of a dynamic body, image data associated with a plurality of images of the dynamic body. The plurality of images include an indication of a position of a first marker coupled to a garment at a first location, and a position of a second marker coupled to the garment at a second location. The garment is coupled to the dynamic body. During a second time interval, an image from the plurality of images is automatically identified that includes a position of the first marker that is substantially the same as a position of a first localization element relative to the dynamic body and a position of the second marker that is substantially the same as a position of the second localization element relative to the dynamic body. 1. A method for imaging a dynamic body of a patient having predictable movement during a periodic cycle , comprising: i) a first marker at a first location on the patient,', 'ii) a second marker at a second location on the patient,', 'iii) a third marker at a third location on the patient, and', 'iv) a fourth marker at a fourth location on the patient,', 'wherein the first, second, third, and fourth locations on the patient move relative to each other during the periodic cycle;, 'a) attaching to the dynamic bodyb) receiving from an imaging device a plurality of 3-D images of the dynamic body over the periodic cycle taken during a first time interval prior to a medical procedure, each image showing a position of the first, second, third, and fourth markers; i) a first localization element at the first location,', 'ii) a second localization element at the second location,', 'iii) a third localization element at the third location, and', 'iv) a fourth localization element at the fourth location;, 'c) attaching to the dynamic bodyd) after step c), receiving at a second time during the medical procedure, data identifying positions for the first, second, third, and fourth ...

IMAGE CAPTURE AND IDENTIFICATION SYSTEM AND PROCESS

An image-based transaction system includes a mobile device with an image sensor that is programmed to capture, via the image sensor, a video stream of a scene. The mobile device identifies a document using image characteristics from the video stream and acquires an image of at least a part of the document, and then identifies symbols in the image based on locations within the image of the document. The symbols can include alphanumeric symbols. The mobile device processes the symbols according to their type to obtain an address related to the document and the symbols and initiates a transaction associated with the identified document. 1. An image-based transaction system: digitally capturing a video stream of a scene via the image sensor;', 'identifying a document using image characteristics from the digitally captured video stream;', 'automatically acquiring an image of at least part of the document in the scene;', 'identifying symbols, including alphanumeric symbols, in the image based on locations within the image of the document;', 'processing the symbols according to their symbol type;', 'obtaining an address related to the identified document and the processed symbols; and', 'initiating a transaction associated with the identified document via a server., 'a mobile device having an image sensor, wherein the mobile device, when software in the mobile device is executed, is caused to execute operations comprising2. The system of claim 1 , further comprising the server.3. The system of claim 1 , wherein the transaction comprises an on-line transaction.4. The system of claim 1 , wherein the transaction is with an account.5. The system of claim 4 , wherein the transaction is with a bank account.6. The system of claim 4 , wherein the transaction is with at least one of the following types of accounts: an account liked to a user claim 4 , an account linked to the mobile device claim 4 , or a credit card account.7. The system of claim 1 , wherein the document identifies ...

METHODS AND SYSTEMS FOR IMPROVING DVS FEATURES FOR COMPUTER VISION APPLICATIONS

The disclosure relates to methods and systems for non-linear mapping of motion-compensated DVS events to DVS images. In the non-linear mapping of motion-compensated DVS events to DVS images, the current pixel increments depend on the existing number of accumulated events at that location. Further, the initial events are given a larger weightage to preserve the tracked features which are used for bundle adjustment. Further, disclosure relates to methods and systems for representing polarity in single channel DVS Frame. As the polarity adds additional constraints on feature matching and therefore accurate optical flow is seen in the image. Moreover, disclosure relates to methods and systems for using event-density as a measure of input contrast after DVS event accumulation and this is used to determine the target range for contrast stretching. 1. A method of imaging an event captured by a dynamic vision sensor (DVS) camera , said method comprising: non-linearly incrementing a motion-compensated pixel location of each of the one or more events by: segregating the motion-compensated pixel location of each of the one or more events into one or more groups, each of the one more groups corresponding to a range of number of events occurring at the motion-compensated pixel locations; and', 'incrementing pixel-intensity for the one or more groups by different amounts to non-linearly increment pixel intensities., 'receiving one or more events captured by the DVS camera over a period of time; and'}2. A method of imaging an event captured from dynamic vision camera , said method comprising:receiving one or more events captured by an event-camera over a period of time;determining the one or more events as a weighted linear-combination of polar and non-polar components; converting both the polar and the non-polar components as intermediate RGB color-channels; and', 'generating the single channel frame by converting the RGB color channels to grayscale., 'determining polarity in a ...

System and method for the detection and counting of repetitions of repetitive activity via a trained network

A technique and system for counting the number of repetitions of approximately the same action in an input video sequence using 3D convolutional neural networks is disclosed. The proposed system runs online and not on the complete video. It analyzes sequentially blocks of 20 non-consecutive frames. The cycle length within each block is evaluated using a deep network architecture and the information is then integrated over time. A unique property of the disclosed method is that it is shown to successfully train on entirely synthetic data, created by synthesizing moving random patches. It therefore effectively exploits the high generalization capability of deep neural networks. Coupled with a region of interest detection mechanism and a suitable mechanism to identify the time scale of the video, the system is robust enough to handle real world videos collected from YouTube and elsewhere, as well as non-video signals such as sensor data revealing repetitious physical movement.

METHOD OF PLANE TRACKING

A method of plane tracking comprising: capturing by a camera a reference frame of a given plane from a first angle; capturing by the camera a destination frame of the given plane from a second angle different than the first angle; defining coordinates of matching points in the reference frame and the destination frame; calculating, using the first and second angles, first and second respective rotation transformations to a simulated plane parallel to the given plane; applying an affine transformation between the reference frame coordinate on the simulated plane and the destination frame coordinate on the simulated plane; and applying a projective transformation on the simulated plane destination frame coordinate to calculate the destination frame coordinate. 1. A method comprising:defining coordinates for a set of reference frame tracking points based on a reference frame of a given plane from a first angle;defining coordinates for a set of destination frame tracking points based on a destination frame of the given plane from a second angle, wherein the set of destination frame tracking points match an orientation of the reference frame tracking points;calculating, using the first angle and the set of reference frame tracking points, a first rotation transformation to a simulated plane parallel to the given plane;calculating, using the second angle and the set of destination frame tracking points, a second rotation transformation to the simulated plane parallel to the given plane and the second rotation transformation is an inverse rotation transformation;applying an affine transformation to the set of reference frame coordinates;applying the affine transformation to the set of destination frame coordinates after applying the affine transformation to the set of reference frame coordinates; andapplying a projective transformation to the simulated plane to calculate a set of destination frame coordinates, the projective transformation comprising applying the affine ...

MEDICAL IMAGE PROCESSING APPARATUS AND METHOD

From a plurality of medical images in time phases, a target site is extracted from at least one medical image, a reference point is set on each of a target-site side, and a periphery side of the target site which are on across from each other over an outline of the extracted target site, and movement information for the reference points is calculated. 117-. (canceled)18. A medical image processing apparatus comprising:an acquisition unit configured to acquire a plurality of medical images obtained by capturing a target site at times different to each other;a registration unit configured to perform registration process on a periphery side of the target site between the plurality of medical images that are set to a first condition, and perform registration process on a target-site side of the target site between the plurality of medical images that are set to a second condition different from the first condition; anda calculation unit configured to calculate, based on a result of the registration process on the periphery side of the target site and a result of the registration process on the target-site side of the target site, slippage on each of a plurality of points being on an outline of the target site.19. The apparatus according to claim 18 , wherein the first condition is a condition in which image features of the periphery side of the target site are emphasized claim 18 , and the second condition is a condition in which image features of the target-site side of the target site are emphasized.20. The apparatus according to claim 18 , wherein the calculation unit calculates claim 18 , as the slippage claim 18 , difference between the result of the registration process on the periphery side of the target site and the result of the registration process on the target-site side of the target site.21. A medical image processing method comprising:acquiring a plurality of medical images obtained by capturing a target site at times different to each other;performing ...