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Charles J Cohen, Glenn Beach, Brook Cavell, Gene Foulk, Charles J Jacobus, Jay Obermark, George Paul: Behavior recognition system. John G Posa, Gifford Krass Groh Sprinkle, September 21, 2006: US20060210112-A1

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 ...


32
Wesley Kenneth Cobb, David Friedlander, Kishor Adinath Saitwal, Ming Jung Seow, Gang Xu: Clustering nodes in a self-organizing map using an adaptive resonance theory network. March 3, 2011: US20110052067-A1

Techniques are disclosed for discovering object type clusters using pixel-level micro-features extracted from image data. A self-organizing map and adaptive resonance theory (SOM-ART) network is used to classify objects depicted in the image data based on the pixel-level micro-features. Importantly, ...


33
Wesley Kenneth Cobb, David FRIEDLANDER, Rajkiran Kumar Gottumukkal, Ming Jung Seow, Gang Xu: Identifying anomalous object types during classification. March 3, 2011: US20110052068-A1

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 ...


34
Wesley Kenneth Cobb, Kishor Adinath Saitwal: Hierarchical sudden illumination change detection using radiance consistency within a spatial neighborhood. Patterson & Sheridan, June 17, 2010: US20100150471-A1

Techniques are disclosed for detecting sudden illumination changes using radiance consistency within a spatial neighborhood. A background/foreground (BG/FG) component of a behavior recognition system may be configured to generate a background image depicting a scene background. Further, the (BG/FG) ...


35
Wesley Kenneth Cobb, Bobby Ernest Blythe, David Samuel Friedlander, Rajkran Kumar Gottumukkal, Ming Jeng Seow, Gang Xu: Visualizing and updating learned trajectories in video surveillance systems. Patterson & Sheridan, February 24, 2011: US20110044498-A1

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 ...


36
Wesley Kenneth Cobb, Rajkiran Kumar Gottumukkal, Kishor Adinath Saitwal, Min Jung Seow, Gang Xu, Lon William Risinger, Jeff Graham: Pixel-level based micro-feature extraction. Patterson & Sheridan, February 24, 2011: US20110044536-A1

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 ...


37
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. May 12, 2011: US20110109539-A1

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 ...


38
Charles J Cohen, Glenn Beach, Brook Cavell, Gene Foulk, Charles J Jacobus, Jay Obermark, George Paul: Behavior recognition system. Gifford Krass Sprinkle Anderson & Citkowski PC, November 5, 2009: US20090274339-A9

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 ...


39
COBB WESLEY KENNETH: Pixel-level based micro-feature extraction. BEHAVIORAL RECOGNITION SYSTEMS, Patterson B Todd, March 18, 2010: WO/2010/030814

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 ...


40
Chen Yiping: Keying behavior recognition system and method. Chi Mei Communication Systems, Shenzhen Futaihong Precision, June 23, 2010: CN200810305952

The invention relates to a keying behavior recognition system which is installed in an electronic device. The keying behavior recognition system comprises a setting module, a recording module, a recognition module and a characteristic value calculating module, wherein the setting module is used for ...