Design and implemented of Crowd Abnormal Behavior Detection System
Zhenjiang Miao · Railway Computer Application · 2010
Focusing on the application requirement of urban rail transit surveillance,this paper designed and implemented Crowd Abnormal Behavior Detection System.Most of Surveillance Systems could only detect or track movement.This System could make an analysis of crowd density and crowd motion for videos.According to the results,the System infered a conclusion whether the crowd behavior was abnormal.About crowd density analysis,it combined texture characteristic analysis with support vector machine classification to classify the crowd density.About crowd motion analysis,it improved traditional block matching algorithm and combined block matching with support vector machine classification to analyze crowd motion.