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.

Date of Patent:
Jun. 05, 2012

Filed:

Nov. 17, 2008
Applicants:

Wei Hua, Cupertino, CA (US);

Xiangrong Chen, Fremont, CA (US);

Ryan Crabb, Los Gatos, CA (US);

Juwei LU, San Jose, CA (US);

Jonathan Cook, Los Gatos, CA (US);

Inventors:

Wei Hua, Cupertino, CA (US);

Xiangrong Chen, Fremont, CA (US);

Ryan Crabb, Los Gatos, CA (US);

Juwei Lu, San Jose, CA (US);

Jonathan Cook, Los Gatos, CA (US);

Assignee:

Agilence, Inc., Camden, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/00 (2006.01); G06F 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.


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