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
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 ...


3
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 ...


4
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 ...


5
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 ...


6
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 ...


7
Wesley Kenneth Cobb, Kishor Adinath Saitwal, Bobby Ernest Blythe, Tao Yang: Adaptive update of background pixel thresholds using sudden illumination change detection. Behavioral Recognition Systems, Patterson & Sheridan, October 9, 2012: US08285046 (3 worldwide citation)

Techniques are disclosed for a computer vision engine to update both a background model and thresholds used to classify pixels as depicting scene foreground or background in response to detecting that a sudden illumination changes has occurred in a sequence of video frames. The threshold values may ...


8
John Eric Eaton, Wesley Kenneth Cobb, Rajkiran K Gottumukkal, Kishor Adinath Saitwal, Ming Jung Seow, Tao Yang, Bobby Ernest Blythe: Tracker component for behavioral recognition system. Behavioral Recognition Systems, Patterson & Sheridan, October 30, 2012: US08300924 (2 worldwide citation)

A tracker component for a computer vision engine of a machine-learning based behavior-recognition system is disclosed. The behavior-recognition system may be configured to learn, identify, and recognize patterns of behavior by observing a video stream (i.e., a sequence of individual video frames). T ...


9
Kishor Adinath Saitwal, Wesley Kenneth Cobb, Tao Yang: Image stabilization techniques for video surveillance systems. BEHAVIORAL RECOGNITION SYSTEMS, Patterson & Sheridan, January 5, 2016: US09232140 (2 worldwide citation)

A behavioral recognition system may include both a computer vision engine and a machine learning engine configured to observe and learn patterns of behavior in video data. Certain embodiments may provide image stabilization of a video stream obtained from a camera. An image stabilization module in t ...


10
Ming Jung Seow, Wesley Kenneth Cobb, Gang Xu, Tao Yang, Aaron Poffenberger, Lon W Risinger, Kishor Adinath Saitwal, Michael S Yantosca, David M Solum, Alex David Hemsath, Dennis G Urech, Duy Trong Nguyen, Charles Richard Morgan: Cognitive neuro-linguistic behavior recognition system for multi-sensor data fusion. Omni AI, NW Poulsen, May 2, 2017: US09639521 (2 worldwide citation)

Embodiments presented herein describe techniques for generating a linguistic model of input data obtained from a data source (e.g., a video camera). According to one embodiment of the present disclosure, a sequence of symbols is generated based on an ordered stream of normalized vectors generated fr ...