Title :
Crowd Energy and Feature Analysis
Author :
Zhong, Zhi ; Ye, Weizhong ; Wang, Shengshu ; Yang, Ming ; Xu, Yangsheng
Abstract :
Surveillance on pedestrian flows in crowded areas is of significance for various security tasks. This problem involves two parts: evaluation of crowdedness and detection of abnormality, where a lot of motion information needs to be studied. This paper defines a crowd energy to deal with crowd modeling and processing in the real-time surveillance. With wavelet analysis of the energy curve, a new approach is presented for monitoring two categories of abnormal events of the scene. The result of a metro video surveillance system has demonstrated the effectiveness of the approach.
Keywords :
feature extraction; telecommunication security; video surveillance; wavelet transforms; abnormality detection; crowd energy; crowded areas; feature analysis; metro video surveillance; pedestrian flows; real-time surveillance; security tasks; wavelet analysis; Automation; Content addressable storage; Discrete wavelet transforms; Information analysis; Layout; Monitoring; Power engineering and energy; Video surveillance; Virtual environment; Wavelet analysis; Crowd Energy; Crowd Surveillance; Wavelet Analysis;
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
DOI :
10.1109/ICITECHNOLOGY.2007.4290448