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《Journal of Zhejiang University(Science Edition)》 2019-01
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Detection and judgment of crowd emergencies based on optical flow and information entropy

DENG Li;SHEN Jizhong;GAO Penghui;College of Information Science & Electronic Engineering,Zhejiang University;  
In parks,schools,shopping centers and other crowded places,security incidents are likely to happen in cases of the earthquake,fire and similar accidents.Identifying people's state is of great significance for the arrangement of rescue resources to reduce the casualties.To detect and judge the potential crowd emergencies,this paper proposes an effective algorithm,which is based on optical flow and information entropy of the surveillance video.By adopting LK optical flow algorithm,we extract the feature points of moving objects in the video,thereby obtaining their location,speed and acceleration information.According to acceleration,we can determine whether there are crowd emergencies.Besides,the entropy is calculated through distribution of velocity vector to identify if there is a chaos happening in the video.Compared with the other methods,this algorithm can accurately detect the crowd emergencies,and analyze the state of the crowd.The algorithm is suitable to deal with environment with different backgrounds.
【Fund】: 国家自然科学基金资助项目(61471314)
【CateGory Index】: TP391.41
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1 ZHANG Peng-yue;ZHANG Liang;Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China;;Crowd Status Analysis Using Optical Flow and Information Entropy[J];信号处理;2015-09
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