1
John Eric Eaton, Wesley Kenneth Cobb, Dennis Gene Urech, Bobby Ernest Blythe, David Samuel Friedlander, Rajkiran Kumar Gottumukkal, Lon William Risinger, Kishor Adinath Saitwal, Ming Jung Seow, David Marvin Solum, Gang Xu, Tao Yang: Behavioral recognition system. BEHAVIORAL RECOGNITION SYSTEMS, Patterson & Sheridan, March 6, 2012: US08131012 (20 worldwide citation)

Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track ...


2
Wesley Kenneth Cobb, Ming Jung Seow, Tao Yang: Foreground object detection in a video surveillance system. Behavioral Recognition Systems, Patterson & Sheridan, July 10, 2012: US08218819 (19 worldwide citation)

Techniques are disclosed for detecting foreground objects in a scene captured by a surveillance system and tracking the detected foreground objects from frame to frame in real time. A motion flow field is used to validate foreground objects(s) that are extracted from the background model of a scene. ...


3
Wesley Kenneth Cobb, Ming Jung Seow, Tao Yang: Foreground object tracking. Behavioral Recognition Systems, Patterson & Sheridan, July 10, 2012: US08218818 (18 worldwide citation)

Techniques are disclosed for detecting foreground objects in a scene captured by a surveillance system and tracking the detected foreground objects from frame to frame in real time. A motion flow field is used to validate foreground objects(s) that are extracted from the background model of a scene. ...


4
John Eric Eaton, Wesley Kenneth Cobb, Bobby Ernest Blythe, Kishor Adinath Saitwal, Tao Yang, Ming Jung Seow: Background-foreground module for video analysis system. Behavioral Recognition Systems, Patterson & Sheridan, January 10, 2012: US08094943 (15 worldwide citation)

Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The ...


5
Wesley Kenneth Cobb, Ming Jung Seow, Tao Yang: Foreground object tracking. Behavioral Recognition Systems, Patterson & Sheridan, February 12, 2013: US08374393 (11 worldwide citation)

Techniques are disclosed for detecting foreground objects in a scene captured by a surveillance system and tracking the detected foreground objects from frame to frame in real time. A motion flow field is used to validate foreground objects(s) that are extracted from the background model of a scene. ...


6
Wesley Kenneth Cobb, Ming Jung Seow, Tao Yang: Background model for complex and dynamic scenes. Behavioral Recognition Systems, Patterson & Sheridan, January 22, 2013: US08358834 (9 worldwide citation)

Techniques are disclosed for learning and modeling a background for a complex and/or dynamic scene over a period of observations without supervision. A background/foreground component of a computer vision engine may be configured to model a scene using an array of ART networks. The ART networks lear ...


7
John Eric Eaton, Wesley Kenneth Cobb, Dennis G Urech, David S Friedlander, Gang Xu, Ming Jung Seow, Lon W Risinger, David M Solum, Tao Yang, Rajkiran K Gottumukkal, Kishor Adinath Saitwal: Semantic representation module of a machine-learning engine in a video analysis system. Behavioral Recognition Systems, Patterson & Sheridan, April 2, 2013: US08411935 (7 worldwide citation)

A machine-learning engine is disclosed that is configured to recognize and learn behaviors, as well as to identify and distinguish between normal and abnormal behavior within a scene, by analyzing movements and/or activities (or absence of such) over time. The machine-learning engine may be configur ...


8
John Eric Eaton, Wesley Kenneth Cobb, Dennis G Urech, David S Friedlander, Gang Xu, Ming Jung Seow, Lon W Risinger, David M Solum, Tao Yang, Rajkiran K Gottumukkal, Kishor Adinath Saitwal: Cognitive model for a machine-learning engine in a video analysis system. Behavioral Recognition Systems, Patterson & Sheridan, May 29, 2012: US08189905 (7 worldwide citation)

A machine-learning engine is disclosed that is configured to recognize and learn behaviors, as well as to identify and distinguish between normal and abnormal behavior within a scene, by analyzing movements and/or activities (or absence of such) over time. The machine-learning engine may be configur ...


9
John Eric Eaton, Wesley Kenneth Cobb, Bobby Ernest Blythe, Rajkiran Kumar Gottumukkal, Kishor Adinath Saitwal: Context processor for video analysis system. Behavioral Recognition Systems, Patterson & Sheridan, June 12, 2012: US08200011 (6 worldwide citation)

Embodiments of the present invention provide a method and a system for mapping a scene depicted in an acquired stream of video frames that may be used by a machine-learning behavior-recognition system. A background image of the scene is segmented into plurality of regions representing various object ...


10
John Eric Eaton, Wesley Kenneth Cobb, Dennis Gene Urech, Bobby Ernest Blythe, David Samuel Friedlander, Rajkiran Kumar Gottumukkal, Lon William Risinger, Kishor Adinath Saitwal, Ming Jung Seow, David Marvin Solum, Gang Xu, Tao Yang: Behavioral recognition system. Behavioral Recognition Systems, Patterson & Sheridan, December 31, 2013: US08620028 (5 worldwide citation)

Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track ...