Abstract: 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.

Abstract: Disclosed herein are methods, structures, circuits, devices, systems and functionally associated computer executable code for artificial intelligence based situational assessment. According to some embodiments, there may be provided a location specific situational assessment system comprising a sensor interface to receive sensing related data from each of one or more location specific sensors directed towards and acquiring information from a respective coverage area of a specific location. An agent application deployment controller may, responsive to location specific information embedded within data received from said one or more sensors, select from a pool of agent application templates an agent application template corresponding to the location specific information and may deploy within a processing platform of said system an agent application based on said selected agent application template.

Abstract: An apparatus for 3D representation of image data, comprising: a structure identifier for identifying structures in motion within image data, and a skeleton insertion unit, which associates three-dimensional skeleton elements with the identified structures. The skeleton elements are able to move with the structures to provide a three-dimensional motion and structural understanding of said image data which can be projected back onto the input data. As well as individual elements, complex bodies can be modeled by complex skeletons having multiple elements. The skeleton elements themselves can be used to identify the complex objects.

Abstract: Disclosed herein are methods, structures, circuits, devices, systems and functionally associated computer executable code for artificial intelligence based situational assessment. According to some embodiments, there may be provided a location specific situational assessment system comprising a sensor interface to receive sensing related data from each of one or more location specific sensors directed towards and acquiring information from a respective coverage area of a specific location. An agent application deployment controller may, responsive to location specific information embedded within data received from said one or more sensors, select from a pool of agent application templates an agent application template corresponding to the location specific information and may deploy within a processing platform of said system an agent application based on said selected agent application template.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An apparatus for 3D representation of image data, comprising: a structure identifier for identifying structures in motion within image data, and a skeleton insertion unit, which associates three-dimensional skeleton elements with the identified structures. The skeleton elements are able to move with the structures to provide a three-dimensional motion and structural understanding of said image data which can be projected back onto the input data. As well as individual elements, complex bodies can be modeled by complex skeletons having multiple elements. The skeleton elements themselves can be used to identify the complex objects.

Abstract: Disclosed are methods, systems, apparatuses, circuits and associated computer executable code for providing video based subject characterization, categorization, identification and/or presence response. According to some embodiments, there is provided a system including a video acquisition module, a video analytics module to extract subject features and a subject presence response module adapted to generate a response to an identification of a specific subject or group of subjects.

Abstract: Disclosed are methods, circuits, apparatus and systems for human machine interfacing with a computational platform or any other electronic device, such as a cell-phone, smart-phone, e-book, notebook computer, tablet computer, etc. According to some embodiments, there may be provided an adaptive touch-screen input arrangement, such as a keyboard, keypad or any other touch screen input arrangements including one or more input elements such as rendered or projected keys or buttons which may be projected onto or rendered on a touch screen display. The adaptive touch-screen input arrangement may be adapted to alter the size, shape or location of input elements within proximity of a finger, limb or implement used by a user to touch the screen.

Abstract: There is provided according to some embodiments of the present invention methods, circuits, apparatuses, systems and associated computer executable code for providing viewer analytics relating to broadcast or otherwise distributed content. This application relates generally to the field of multimedia digital communication and viewer analytics. More specifically, the present invention relates to methods, circuits, apparatuses, systems and associated computer executable code for providing viewer analytics relating to broadcast and otherwise distributed content.

Abstract: An apparatus for 3D representation of image data, comprising: a structure identifier for identifying structures in motion within image data, and a skeleton insertion unit, which associates three-dimensional skeleton elements with the identified structures. The skeleton elements are able to move with the structures to provide a three-dimensional motion and structural understanding of said image data which can be projected back onto the input data. As well as individual elements, complex bodies can be modeled by complex skeletons having multiple elements. The skeleton elements themselves can be used to identify the complex objects.

Abstract: There is provided in accordance with some embodiments of the present invention an optical assembly including a set of optical paths, wherein two or more optical paths receive an image from a common surface. The optical paths may direct received images onto a common image sensor generating a complex multidimensional data set, an image processing block may extrapolate each of the subset of optical paths printed on the image sensor and may generate a multidimensional data set based on the collected images.

Abstract: A computerized method and apparatus for providing input to a computing platform from a user. The apparatus comprises a computing platform, a projection device for projecting an image to be displayed to a user, and a capturing device for capturing a reflection of the image or part thereof and hand or hands of a user in the vicinity of the projected image. The location of the user's hands is associated with a symbol or control command associated with the area of the projected image, and the symbol or control command are input to the computing platform or to an application associated with the projected image. A registration stage may be used for crating the association. A skeleton model may be used for determining the location of the user's hands.

Abstract: The present invention includes methods, systems, apparatuses, circuits and associated computer executable code for detecting motion, position and/or orientation of objects within a defined spatial region. According to some embodiments, a defined spatial region (hereinafter also referred to as the: “Active Space”) may be monitored, by any type of appropriate sensor or sensors, and position, orientation and movement of objects within the active space may be determined. Determined position, orientation and movement of objects within the active space may be translated to control signals or other forms of input for an associated computational device.

Abstract: Disclosed are methods, systems, apparatuses, circuits and associated computer executable code for providing video based subject characterization, categorization, identification and/or presence response. According to some embodiments, there is provided a system including a video acquisition module, a video analytics module to extract subject features and a subject presence response module adapted to generate a response to an identification of a specific subject or group of subjects.

Abstract: The present invention includes methods, systems, devices and associated processing logic for generating stereoscopic 3-Dimensional images and/or video from 2-Dimensional images or video. There may be provided a stereoscopic 3D generating system to extrapolate and render 2D complementary images and or video from a first 2D image and/or video. The complementary images and/or video, when combined with the first image or video, or a second complementary image or video, form a stereoscopic image of the scene captured in the first image or video. The stereoscopic 3D generation system may generate a complementary image or images, such that when a viewer views the first image or a second complementary image (shifted in the other direction from the first complementary image) with one eye and the complementary image with the other eye, an illusion of depth in the image is created (e.g. a stereoscopic 3D image).

Abstract: The present invention includes methods, systems, apparatuses, circuits and associated computer executable code for providing video based subject characterization, categorization, identification, tracking, monitoring, authentication and/or presence response. According to some embodiments, there may be provided one or more Image Based Biometric Extrapolation (IBBE) methods, systems and apparatuses adapted to extrapolate static and/or dynamic biometric parameters of one or more subjects, from one or more images or video segments including the subjects. According to some embodiments, extrapolated biometric parameters of subjects may be used to identify, track/monitor and/or authenticate the subjects. According to further embodiments, extrapolated biometric parameters may be used to determine physical positions of subjects and may further be used to identify one or more subjects exhibiting suspicious behavior based on their physical positions.