This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Camshift-Based Real-Time Multiple Vehicle Tracking for Visual Traffic Surveillance
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
This paper presents methods for vision-based detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. The goal of this research is to develop suitable methods for automatic visual traffic surveillance to perform detection, tracking and traffic parameter estimation of multiple vehicles in real time as well as tackle environment illumination changes and vehicle occlusion. Each of detected vehicles is assigned a camshift tracker which can quickly and exactly track object with different size and shape. Experimental results from traffic scenes demonstrate the effectiveness and robustness of the methods.
Citation:
Zhe Liu, Yangzhou Chen, Zhenlong Li, "Camshift-Based Real-Time Multiple Vehicle Tracking for Visual Traffic Surveillance," csie, vol. 5, pp.477-482, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.