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2006 IEEE International Conference on Multimedia and Expo
Real-Time Video Intelligent Surveillance System
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
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@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
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
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