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Multi-view Intelligent Vehicle Surveillance System

Denman, Simon P., Fookes, Clinton B., Cook, Jamie A., Davoren, Chris, Mamic, Anthony, Farquharson, Graeme J., Chen, D., Chen, B., & Sridharan, Sridha (2006) Multi-view Intelligent Vehicle Surveillance System. In IEEE International Conference on Video and Signal Based Surveillance, 2006. AVSS '06, Nov. 2006.

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Abstract

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.

Impact and interest:

2 citations in Scopus
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ID Code: 9498
Item Type: Conference Paper
DOI: 10.1109/AVSS.2006.78
ISBN: 0-7695-2688-8
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 17 Sep 2007
Last Modified: 29 Feb 2012 23:22

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