Title :
The research of identification method of crowd convergence and divergence in the surveillance video
Author :
Chen, Weihua ; Yang, Jiancheng
Author_Institution :
Dept. of Inf. Eng., Hebei Software Inst., Baoding, China
Abstract :
This paper proposes an improved method that based on motion corner statistical properties of the crowd convergence and divergence event. The experimental results show that this method can identify the crowd convergence and divergence in video sequence effectively.
Keywords :
convergence; image motion analysis; image sequences; statistical analysis; video surveillance; crowd convergence identification method; crowd divergence event; motion corner statistical property; video sequence; video surveillance; Convergence; Covariance matrix; Legged locomotion; Object recognition; Positron emission tomography; Surveillance; Harris corner; covariance matrix; crowd convergence; crowd divergence; mask template;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-2192-1
DOI :
10.1109/ICSPCC.2012.6335594
