The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 23, 2012
Filed:
Aug. 18, 2009
Wesley Kenneth Cobb, The Woodlands, TX (US);
Bobby Ernest Blythe, Houston, TX (US);
David Samuel Friedlander, Houston, TX (US);
Kishor Adinath Saitwal, Houston, TX (US);
Gang Xu, Katy, TX (US);
Wesley Kenneth Cobb, The Woodlands, TX (US);
Bobby Ernest Blythe, Houston, TX (US);
David Samuel Friedlander, Houston, TX (US);
Kishor Adinath Saitwal, Houston, TX (US);
Gang Xu, Katy, TX (US);
Behavioral Recognition Systems, Inc., Houston, TX (US);
Abstract
A sequence layer in a machine-learning engine configured to learn from the observations of a computer vision engine. In one embodiment, the machine-learning engine uses the voting experts to segment adaptive resonance theory (ART) network label sequences for different objects observed in a scene. The sequence layer may be configured to observe the ART label sequences and incrementally build, update, and trim, and reorganize an ngram trie for those label sequences. The sequence layer computes the entropies for the nodes in the ngram trie and determines a sliding window length and vote count parameters. Once determined, the sequence layer may segment newly observed sequences to estimate the primitive events observed in the scene as well as issue alerts for inter-sequence and intra-sequence anomalies.