Real-Time Video Intelligent Surveillance System

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Weidong Zhang Articles by Feng Chen Articles by Wenli Xu Articles by Enwei Zhang

2006 IEEE International Conference on Multimedia and Expo

Toronto, ON, Canada

July 09-July 12

ISBN: 1-4244-0366-7

	ASCII Text	x
	Weidong Zhang, Feng Chen, Wenli Xu, Enwei Zhang, "Real-Time Video Intelligent Surveillance System," Multimedia and Expo, IEEE International Conference on, pp. 1021-1024, 2006 IEEE International Conference on Multimedia and Expo, 2006.

	BibTex	x
	@article{ 10.1109/ICME.2006.262707, author = {Weidong Zhang and Feng Chen and Wenli Xu and Enwei Zhang}, title = {Real-Time Video Intelligent Surveillance System}, journal ={Multimedia and Expo, IEEE International Conference on}, volume = {0}, year = {2006}, isbn = {1-4244-0366-7}, pages = {1021-1024}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262707}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia and Expo, IEEE International Conference on TI - Real-Time Video Intelligent Surveillance System SN - 1-4244-0366-7 SP1021 EP1024 A1 - Weidong Zhang, A1 - Feng Chen, A1 - Wenli Xu, A1 - Enwei Zhang, PY - 2006 KW - null VL - 0 JA - Multimedia and Expo, IEEE International Conference on ER -

Weidong Zhang, Department of Automation, Tsinghua University. Beijing, China. 100084

Feng Chen, Department of Automation, Tsinghua University. Beijing, China. 100084

Wenli Xu, Department of Automation, Tsinghua University. Beijing, China. 100084

Enwei Zhang, Department of Automation, Tsinghua University. Beijing, China. 100084

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262707

With the rapid development of hardware equipments, it is now economically and technically feasible to build a video surveillance system. This paper presents the system architecture of VISS, a Video Intelligent Surveillance System deployed in parking lots. In VISS we adopt robust moving object detecting and tracking algorithm, and we present a novel activity recognition framework based on Layer Hidden Semi-Markov Model (LHSMM) which is used for modeling activities. The experimental results on real-time video show that the system is effective and robust in complex activity recognition.

Citation:

Weidong Zhang, Feng Chen, Wenli Xu, Enwei Zhang, "Real-Time Video Intelligent Surveillance System," icme, pp.1021-1024, 2006 IEEE International Conference on Multimedia and Expo, 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.