Title :
Analysis for Real-Time Video Monitoring and Determine the Degree of Crowd
Author :
Zhang, Jian ; Zhang, Yajuan ; Wang, Yongxue ; Yan, Gang ; Ma, Jie
Author_Institution :
Sch. of Sci., Hebei Univ. of Technol., Tianjin, China
Abstract :
In some public places such as super market and school, increasing people became too crowed sometime. In this paper, we find a solution to monitor the video and analyze the data automatically. It helps to get warnings before the people becoming too crowded. In order to acquire the real-time images to analysis the people´s movement trends, system sends the warning to administrator in time by calculating and analyzing certain parameters of pre-movement.
Keywords :
video signal processing; degree of crowd; real-time images; realtime video monitoring; school; super market; Cameras; Computerized monitoring; Condition monitoring; Data analysis; Filtering; Image analysis; Intelligent networks; Intelligent systems; Process design; Real time systems; Crowded degree; Intelligent Video Monitoring; Real-time data analysis;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.106
