Method of and system for hierarchical human/crowd behavior detection
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United States of America Patent
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Jun 5, 2012
Grant Date -
Sep 3, 2009
app pub date -
Nov 17, 2008
filing date -
Nov 16, 2007
priority date (Note) -
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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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