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2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06)
Multi-view Intelligent Vehicle Surveillance System
Sydney, NSW, Australia
November 22-November 24
ISBN: 0-7695-2688-8
ASCII Text
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S. Denman, C. Fookes, J. Cook, C. Davoren, A. Mamic, G. Farquharson, D. Chen, B. Chen, S. Sridharan, "Multi-view Intelligent Vehicle Surveillance System," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 26, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006.
 
 
BibTex
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@article{ 10.1109/AVSS.2006.78,
author = {S. Denman and C. Fookes and J. Cook and C. Davoren and A. Mamic and G. Farquharson and D. Chen and B. Chen and S. Sridharan},
title = {Multi-view Intelligent Vehicle Surveillance System},
journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2688-8},
pages = {26},
doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.78},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Video and Signal Based Surveillance, IEEE Conference on
TI - Multi-view Intelligent Vehicle Surveillance System
SN - 0-7695-2688-8
SP
EP
A1 - S. Denman,
A1 - C. Fookes,
A1 - J. Cook,
A1 - C. Davoren,
A1 - A. Mamic,
A1 - G. Farquharson,
A1 - D. Chen,
A1 - B. Chen,
A1 - S. Sridharan,
PY - 2006
KW - null
VL - 0
JA - Advanced Video and Signal Based Surveillance, IEEE Conference on
ER -
 
S. Denman, Queensland University of Technology, Australia
C. Fookes, Queensland University of Technology, Australia
J. Cook, Queensland University of Technology, Australia
C. Davoren, Queensland University of Technology, Australia
A. Mamic, Queensland University of Technology, Australia
G. Farquharson, Queensland University of Technology, Australia
D. Chen, Queensland University of Technology, Australia
B. Chen, Queensland University of Technology, Australia
S. Sridharan, Queensland University of Technology, Australia
This paper presents a multi-view intelligent surveillance system used for the automatic tracking and monitoring of vehicles in a short-term parking lane. The system has the ability to track multiple vehicles in real-time across four cameras monitoring the area using a combination of both motion detection and optical flow modules. Automated alerts of events such as parking time violations, breaching of restricted areas or improper directional flow of traffic can be generated and communicated to attending security personnel. Results are shown using surveillance data captured from a real multi-camera network to illustrate the robust and real-time performance of the system.
Citation:
S. Denman, C. Fookes, J. Cook, C. Davoren, A. Mamic, G. Farquharson, D. Chen, B. Chen, S. Sridharan, "Multi-view Intelligent Vehicle Surveillance System," avss, pp.26, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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