21
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. Avigilon Patent Holding 1 Corporation, Baker & Hostetler, May 30, 2017: US09665774

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 ...


22
Gang Xu, Wesley Kenneth Cobb: Anomalous stationary object detection and reporting. OMNI AI, N W Poulsen, August 1, 2017: US09723271

Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. The techniques include receiving data for an object within the scene and determining whether the object has remained substantially stationary within the scene for at least a thresho ...


23
Wesley Kenneth Cobb, Bobby Ernest Blythe, Rajkiran Kumar Gottumukkal, Kishor Adinath Saitwal, Gang Xu, Tao Yang: Scene preset identification using quadtree decomposition analysis. Omni AI, N W Poulsen, October 31, 2017: US09805271

Techniques are disclosed for matching a current background scene of an image received by a surveillance system with a gallery of scene presets that each represent a previously captured background scene. A quadtree decomposition analysis is used to improve the robustness of the matching operation whe ...


24
Sara H Basson, Genady Grabarnik, Dimitri Kanevsky, Irina Rish: Adaptive system for real-time behavioral coaching and command intermediation. International Business Machines Corporation, Fleit Gibbons Gutman Bongini Bianco PL, Jose Gutman, November 21, 2017: US09824606

A method, information processing system, and computer readable article of manufacture reinforce behavior in an individual. A behavior associated with an individual is monitored. A determination is made, based on the monitoring, that the behavior substantially matches a behavior in a set of behaviors ...


25
Wesley Kenneth Cobb, David Friedlander, Rajkiran Kumar Gottumukkal, Ming Jung Seow, Gang Xu: Identifying anomalous object types during classification. Behavioral Recognition Systems, Patterson & Sheridan, October 1, 2013: US08548198

Techniques are disclosed for identifying anomaly object types during classification of foreground objects extracted from image data. A self-organizing map and adaptive resonance theory (SOM-ART) network is used to discover object type clusters and classify objects depicted in the image data based on ...


26
Wesley Kenneth Cobb, Rajkiran K Gottumukkal, Kishor Adinath Saitwal, Ming Jung Seow, Gang Xu, Lon W Risinger, Jeff Graham: Pixel-level based micro-feature extraction. Omni Al, NW Poulsen, LA McAnelly, August 14, 2018: US10049293

Techniques are disclosed for extracting micro-features at a pixel-level based on characteristics of one or more images. Importantly, the extraction is unsupervised, i.e., performed independent of any training data that defines particular objects, allowing a behavior-recognition system to forgo a tra ...


27
Swarup Medasani, Yuri Owechko: Behavior recognition using cognitive swarms and fuzzy graphs. Tope Mckay & Associates, November 15, 2007: US20070263900-A1

Described is a behavior recognition system for detecting the behavior of objects in a scene. The system comprises a semantic object stream module for receiving a video stream having at least two frames and detecting objects in the video stream. Also included is a group organization module for utiliz ...


28
John Eric Eaton, Wesley Kenneth Cobb, Bobby Ernest Blythe, Rajkiran Kumar Gottumukkal, Kishor Adinath Saitwal: Context processor for video analysis system. Patterson & Sheridan, April 2, 2009: US20090087024-A1

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 ...


29
John Eric Eaton, Wesley Kenneth Cobb, Rajkiran Kumar Gottumukkal, Ming Jung Seow, Tao Yang, Kishor Adinath Saitwal: Estimator identifier component for behavioral recognition system. Patterson & Sheridan, April 2, 2009: US20090087027-A1

An estimator/identifier component for a computer vision engine of a machine-learning based behavior-recognition system is disclosed. The estimator/identifier component may be configured to classify an object being one of two or more classification types, e.g., as being a vehicle or a person. Once cl ...


30
John Eric Eaton, Wesley Kenneth Cobb, Rajkiran K Gottumukkal, Kishore Adinath Saitwal, Ming Jung Seow, Tao Yang, Bobby Ernest Blythe: Tracker component for behavioral recognition system. Patterson & Sheridan, April 2, 2009: US20090087085-A1

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 ...