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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 16. Отображено 16.
10-05-2012 дата публикации

SYSTEM AND METHOD FOR INVENTORYING VEGETAL SUBSTANCE

Номер: US20120114185A1
Автор: Elichai Yoram, RAM Ehud, Shilo Roi
Принадлежит:

A system and method for computing an amount of timber that can be harvested from a plurality of trees is provided. An image related to a plurality of trees in a region may be obtained. A digital representation of the image may be analyzed to determine at least one of a presence, a location and/or a height of at least some of the trees. An inventory report related to an amount of timber that may be harvested may be generated based on at least one of the presence, location and/or a height of trees in the region. 1. A method comprising:obtaining, by an image acquisition system, an image related to a plurality of trees in a region;processing, by a computing device, said image to produce a digital representation of said image;analyzing said digital representation to determine at least one of: a location and a height of at least some of said plurality of trees; andcomputing, based on at least one of said location and height, a parameter related to an amount of timber that can be harvested from said plurality of trees.2. The method of claim 1 , wherein determining said height comprises determining a geometric center of a canopy based on an analysis of said image and determining the height of said geometric center.3. The method of claim 1 , comprising:producing a digital surface model (DSM) related to said plurality of trees wherein said DSM contains at least some treetops of said plurality of trees;producing a digital terrain model (DTM), said DTM related to a terrain of a region related to said plurality of trees;producing a digital height model (DHM) by subtracting said DTM from said DSM; anddetermining said height of at least some of said plurality of trees based on said DHM.4. The method of claim 3 , wherein said DSM represents a surface elevation from a predefined reference point.5. The method of claim 1 , comprising generating a spatial density index (SDI) related to said plurality of trees and computing an amount of timber that can be harvested from said plurality ...

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Номер записи: 1
14-03-2013 дата публикации

METHOD AND SYSTEM OF USING AUGMENTED REALITY FOR APPLICATIONS

Номер: US20130063487A1
Автор: Elichai Yoram, FRUCHTER Andrew, SABACH Pinhas, Spiegel Ehud
Принадлежит: MyChic Systems Ltd.

A computerized method for superposing an image of an object onto an image of a scene, including obtaining a 2.5D representation of the object, obtaining the image of the scene, obtaining a location in the image of the scene for superposing the image of the object, producing the image of the object using the 2.5D representation of the object, superposing the image of the object onto the image of the scene, at the location. A method for online commerce via the Internet, including obtaining an image of an object for display, obtaining an image of a scene suitable for including the image of the object for display, and superposing the image of the object for display onto the image of the scene, wherein the image of the object for display is produced from a 2.5D representation of the object. Related apparatus and methods are also described. 1. A computerized method for superposing an image of an object onto an image of a scene , comprising:obtaining a 2.5D representation of the object;obtaining the image of the scene;obtaining a location in the image of the scene for superposing the image of the object;producing the image of the object, suitable for superposing at the location, using the 2.5D representation of the object; andsuperposing the image of the object onto the image of the scene, at the location.2. The method of in which the obtaining the 2.5D representation of the object comprises capturing a plurality of photo-realistic images of the object taken from different angles to the object claim 1 , and producing the 2.5D representation of the object based on the plurality of images.3. The method of in which the obtaining a 2.5D representation of the object further comprises extracting from at least some of the plurality of photo-realistic images of the object only portions of the plurality of photo-realistic images which include the object.4. The method of in which the extracting comprises a human operator assisting the extracting.5. The method of in which the ...

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Номер записи: 2
10-04-2014 дата публикации

DEVICE AND METHOD FOR DETECTING PLANTATION ROWS

Номер: US20140099000A1
Автор: DIAMANT Erez Yaacov, Elichai Yoram, Herman Tsur, Shamir Gil, Shilo Roi
Принадлежит: Intelescope Solutions Ltd.

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

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Номер записи: 3
11-01-2018 дата публикации

METHODS CIRCUITS DEVICES SYSTEMS AND ASSOCIATED COMPUTER EXECUTABLE CODE FOR VIDEO FEED PROCESSING

Номер: US20180012366A1
Автор: Elichai Yoram, Givon Dor
Принадлежит:

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. 1. A video feed processing system comprising:interface circuits to receive one or more two dimensional (“2D”) video feeds; andprocessing circuitry executing instructions to:track and characterize moving elements present within the scene video feed;identify and characterize static elements or objects present within the scene video feed;define a three dimensional (“3D”) coordinate set for the scene within boundaries of the scene video feed, wherein defining a three dimensional (“3D”) coordinate set includes identifying one or more substantially straight edges, indicative of the X Y or Z axes of the scene and mapping the positions of the identified and characterized static elements or objects in relation to the identified straight edges;derive coordinates and orientation of the video feed source within the scene video feed coordinate frame;update a scene element inventory with characterization information relating to identified static elements, wherein updating is performed responsive to either newly derived characterization information or to refinement of existing characterization information;detect from within the tracked and characterized moving elements one or more humans in the scene video feed; andcharacterize and log an event associated with a detected human; andfurther comprising an echo-ranging assembly in proximity with the video feed source and including one or more acoustic emitters and one or more acoustic detectors.2. The system according to claim 1 , wherein static element characterization information for a static element includes one or ...

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Номер записи: 4
02-05-2019 дата публикации

METHODS CIRCUITS DEVICES SYSTEMS AND ASSOCIATED COMPUTER EXECUTABLE CODE FOR EXTRACTION OF VISIBLE FEATURES PRESENT WITHIN A VIDEO FEED FROM A SCENE

Номер: US20190130581A1
Автор: Davidman Gil, Elichai Yoram, Givon Dor
Принадлежит:

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. 1. A video feed processing system comprising:interface circuits to receive one or more two dimensional (“2D”) video feeds; andprocessing circuitry executing instructions to:track and characterize moving elements present within the scene video feed;identify and characterize static elements or objects present within the scene video feed;define a three dimensional (“3D”) coordinate set for the scene within boundaries of the scene video feed, wherein defining a three dimensional (“3D”) coordinate set includes identifying one or more substantially straight edges, indicative of the X Y or Z axes of the scene and mapping the positions of the identified and characterized static elements or objects in relation to the identified straight edges;derive coordinates and orientation of the video feed source within the scene video feed coordinate frame;update a scene element inventory with characterization information relating to identified static elements, wherein updating is performed responsive to either newly derived characterization information or to refinement of existing characterization information;detect from within the tracked and characterized moving elements one or more humans in the scene video feed; andcharacterize and log an event associated with a detected human; andfurther comprising an echo-ranging assembly in proximity with the video feed source and including one or more acoustic emitters and one or more acoustic detectors.2. The system according to claim 1 , wherein static element characterization information for a static element includes one or ...

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Номер записи: 5
29-12-2016 дата публикации

Methods Circuits Devices Systems and Associated Computer Executable Code for Multi Factor Image Feature Registration and Tracking

Номер: US20160379373A1
Автор: Elichai Yoram, Givon Dor
Принадлежит:

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. 1. A video feed processing system comprising:interface circuits to receive one or more two dimensional (“2D”) video feeds; andprocessing circuitry executing instructions to:track and characterize moving elements present within the scene video feed;identify and characterize static elements or objects present within the scene video feed;define a three dimensional (“3D”) coordinate set for the scene within boundaries of the scene video feed, wherein defining a three dimensional (“3D”) coordinate set includes identifying one or more substantially straight edges, indicative of the X Y or Z axes of the scene and mapping the positions of the identified and characterized static elements or objects in relation to the identified straight edges;derive coordinates and orientation of the video feed source within the scene video feed coordinate frame;update a scene element inventory with characterization information relating to identified static elements, wherein updating is performed responsive to either newly derived characterization information or to refinement of existing characterization information;detect from within the tracked and characterized moving elements one or more humans in the scene video feed; andcharacterize and log an event associated with a detected human.2. The system according to claim 1 , wherein static element characterization information for a static element includes one or more of: (a) estimated dimensions of an element; (b) an element category; (c) estimated coordinates of one or more points on the static element; (d) a relationship with ...

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Номер записи: 6
29-08-2002 дата публикации

Method and apparatus for image analysis and processing by identification of characteristic lines and corresponding parameters

Номер: WO2002031768A3
Автор: Yoram Elichai, Yosef Yomdin
Принадлежит: Vimatix Technologies Ltd

A method and apparatus is provided for analyzing and processing images by identification of characteristic lines and corresponding parameters (544). More particularly, the method and apparatus transforms an image into mathematical models derived from the characteristic lines and parameters, based on repetitive image patterns (548). The parameters include central lines, signatures, cross-sections, characteristic strips, margins, end areas, fitting transformations and fitting sequences. Each of the parameters associated with the identified characteristic lines are representable by mathematical models, which accurately approximate the geometric and brightness (or color) attributes of the respective characteristic lines (554).

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Номер записи: 7
16-01-2003 дата публикации

Method and apparatus for image representation by geometric and brightness modeling

Номер: US20030011622A1
Автор: Yoram Elichai, Yosef Yomdin
Принадлежит: Vimatix BVI Ltd

A method for representing an image includes identifying characteristic lines of the image and the visual relationships among the characteristic lines. The visual relationships include proximities and crossings of the characteristic lines. The method further includes defining a background of the image, the background including a slow-scale background, background patches and background textures. Mathematical models representing the characteristic lines, the visual relationships among the characteristic lines and the background, respectively, are assembled and aggregated.

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Номер записи: 8
29-04-2010 дата публикации

A method system and associated modules and software components for providing image sensor based human machine interfacing

Номер: CA2741559A1
Автор: Dor Givon, Yoram Elichai
Принадлежит: Extreme Reality Ltd

Disclosed is an image based human machine interface which comprises an image acquisition assembly which may acquire one or more of two-dimensional images of a user, wherein substantially each image may be associated with a different point in time. The human machine interface further comprises a processing unit which may classify one or more groups of pixels as either background or foreground.

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Номер записи: 9
01-10-2013 дата публикации

Method system and associated modules and software components for providing image sensor based human machine interfacing

Номер: US8548258B2
Автор: Dor Givon, Yoram Elichai
Принадлежит: Extreme Reality Ltd

Disclosed is an image based human machine interface which comprises an image acquisition assembly which may acquire one or more of two-dimensional images of a user, wherein substantially each image may be associated with a different point in time. The human machine interface further comprises a processing unit which may classify one or more groups of pixels as either background or foreground.

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Номер записи: 10
25-09-2003 дата публикации

Method and apparatus for image representation by geometric and brightness modeling

Номер: WO2003007487A3
Автор: Yoram Elichai, Yosef Yomdin
Принадлежит: Vimatix Technologies Ltd, Yoram Elichai, Yosef Yomdin

A method for representing an image includes identifying characteristic lines of the image and the visual relationships among the characteristic lines. The visual relationships include proximities and crossings of the characteristic lines. The method further includes defining a background of the image, the background including a slow-scale background, background patches and background textures. Mathematical models representing the characteristic lines, the visual relationships among the characteristic lines and the background, respectively, are assembled and aggregated.

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Номер записи: 11
30-10-2018 дата публикации

Methods circuits devices systems and associated computer executable code for extraction of visible features present within a video feed from a scene

Номер: US10115203B2
Автор: Dor Givon, Gil Davidman, Yoram Elichai
Принадлежит: Getalert Ltd

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.

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Номер записи: 12
12-05-2004 дата публикации

Geometric and brightness modeling of images

Номер: EP1417647A2
Автор: Yoram Elichai, Yosef Yomdin
Принадлежит: Vimatix Technologies Ltd

A method of representing an image, comprising : determining one or more characteristic lines over which the profile of the image changes considerably; and storing, for each of the one or more characteristic lines, one or more cross section profiles including data on the brightness of the line and of one or more background points adjacent the line having a brightness substantially different from the brightness of the line.

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Номер записи: 13
02-05-2013 дата публикации

System and method for inventorying vegetal substance

Номер: AU2011327780A1
Автор: Ehud Ram, Roi Shilo, Yoram Elichai
Принадлежит: Intelescope Solutions Ltd

A system and method for computing an amount of timber that can be harvested from a plurality of trees is provided. An image related to a plurality of trees in a region may be obtained. A digital representation of the image may be analyzed to determine at least one of a presence, a location and/or a height of at least some of the trees. An inventory report related to an amount of timber that may be harvested may be generated based on at least one of the presence, location and/or a height of trees in the region.

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Номер записи: 14
25-01-2018 дата публикации

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

Номер: AU2016284943A1
Автор: Dor Givon, Yoram Elichai
Принадлежит: Getalert Ltd

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.

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Номер записи: 15
01-08-2017 дата публикации

Methods circuits devices systems and associated computer executable code for video feed processing

Номер: US09721350B2
Автор: Dor Givon, Yoram Elichai
Принадлежит: Getalert Ltd

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.

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Номер записи: 16