Title :
Multi-view Intelligent Vehicle Surveillance System
Author :
Denman, S. ; Fookes, C. ; Cook, J. ; Davoren, C. ; Mamic, A. ; Farquharson, G. ; Chen, D. ; Chen, B. ; Sridharan, S.
Author_Institution :
Queensland University of Technology, Australia
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.
Keywords :
Cameras; Computerized monitoring; Image motion analysis; Intelligent systems; Intelligent vehicles; Motion detection; Real time systems; Surveillance; Telecommunication traffic; Tracking;
Conference_Titel :
Video and Signal Based Surveillance, 2006. AVSS '06. IEEE International Conference on
Conference_Location :
Sydney, Australia
Print_ISBN :
0-7695-2688-8
DOI :
10.1109/AVSS.2006.78