1
Charles J Cohen, Glenn Beach, Brook Cavell, Gene Foulk, Charles J Jacobus, Jay Obermark, George Paul: Behavior recognition system. Cybernet Systems Corporation, Gifford Krass Groh Sprinkle Anderson & Citkowski PC, April 25, 2006: US07036094 (314 worldwide citation)

A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. T ...


2
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 ...


3
Charles J Cohen, Glenn Beach, Brook Cavell, Gene Foulk, Charles J Jacobus, Jay Obermark, George Paul: Behavior recognition system. Cybernet Systems Corporation, Gifford Krass Sprinkle Anderson & Citkowski P C, March 26, 2013: US08407625 (6 worldwide citation)

A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. T ...


4
Wesley Kenneth Cobb, David Friedlander, Rajkiran Kumar Gottumukkal, Ming Jung Seow, Gang Xu: Identifying anomalous object types during classification. Behavioral Recognition Systems, Patterson & Sheridan, September 18, 2012: US08270733 (5 worldwide citation)

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 ...


5
Swarup Medasani, Yuri Owechko: Behavior recognition using cognitive swarms and fuzzy graphs. HRL Laboratories, Tope McKay & Associates, November 19, 2013: US08589315 (5 worldwide citation)

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 ...


6
Wesley Kenneth Cobb, Bobby Ernest Blythe, David Samuel Friedlander, Rajkiran Kumar Gottumukkal, Ming Jung Seow, Gang Xu: Visualizing and updating learned trajectories in video surveillance systems. Behavioral Recognition Systems, Patterson & Sheridan, October 2, 2012: US08280153 (3 worldwide citation)

Techniques are disclosed for visually conveying a trajectory map. The trajectory map provides users with a visualization of data observed by a machine-learning engine of a behavior recognition system. Further, the visualization may provide an interface used to guide system behavior. For example, the ...


7
Chung Hsien Wu, Jen Chun Lin, Wen Li Wei, Chia Te Chu, Red Tom Lin, Chin Shun Hsu: Behavior recognition system and method by combining image and speech. Institute for Information, Muncy Geissler Olds & Lowe PLLC, July 16, 2013: US08487867 (3 worldwide citation)

A behavior recognition system and method by combining an image and a speech are provided. The system includes a data analyzing module, a database, and a calculating module. A plurality of image-and-speech relation modules is stored in the database. Each image-and-speech relation module includes a fe ...


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
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 ...


10
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. April 25, 2017: US09633275 (2 worldwide citation)

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 ...