Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences

Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences

We describe a method that can detect specific human behaviors even in crowded surveillance video scenes. Our developed system recognizes specific behaviors based on the trajectories created by detecting and tracking people in a video. It detects people using an HOG descriptor and SVM classifier, and...

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Bibliographic Details
Main Authors:	Shin&#39;ichi Satoh, Masahiro Shibata, Mahito Fujii, Masaki Takahashi
Format:	Article
Language:	English
Published:	SpringerOpen 2010-01-01
Series:	EURASIP Journal on Advances in Signal Processing
Online Access:	http://dx.doi.org/10.1155/2010/801252

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