Invention Grant
US08195598B2 Method of and system for hierarchical human/crowd behavior detection
有权
分层人群/人群行为检测的方法和系统
- Patent Title: Method of and system for hierarchical human/crowd behavior detection
- Patent Title (中): 分层人群/人群行为检测的方法和系统
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Application No.: US12313193Application Date: 2008-11-17
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Publication No.: US08195598B2Publication Date: 2012-06-05
- Inventor: Wei Hua , Xiangrong Chen , Ryan Crabb , Juwei Lu , Jonathan Cook
- Applicant: Wei Hua , Xiangrong Chen , Ryan Crabb , Juwei Lu , Jonathan Cook
- Applicant Address: US NJ Camden
- Assignee: Agilence, Inc.
- Current Assignee: Agilence, Inc.
- Current Assignee Address: US NJ Camden
- Agency: Kauth, Pomeroy, Peck & Bailey LLP
- Main IPC: G06F15/00
- IPC: G06F15/00 ; G06F15/18

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.
Public/Granted literature
- US20090222388A1 Method of and system for hierarchical human/crowd behavior detection Public/Granted day:2009-09-03
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