loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03)
Moving Cast Shadow Elimination for Robust Vehicle Extraction Based on 2D Joint Vehicle/Shadow Models
Miami, Florida
July 21-July 22
ISBN: 0-7695-1971-7
Akio Yoneyama, University of Southern California
Chia H. Yeh, University of Southern California
C. -C. Jay Kuo, University of Southern California
A new algorithm to eliminate moving cast shadow for robust vehicle detection and extraction in a vision-based highway monitoring system is investigated in this research. The proposed algorithm is based on a simplified 2D vehicle/shadow model of six types projected to a 2D image plane. Parameters of the joint 2D vehicle/shadow models can be estimated from input video without the light source and camera calibration information. Simulations are performed to verify that the proposed technique is effective for vision-based highway surveillance systems.
Citation:
Akio Yoneyama, Chia H. Yeh, C. -C. Jay Kuo, "Moving Cast Shadow Elimination for Robust Vehicle Extraction Based on 2D Joint Vehicle/Shadow Models," avss, pp.229, 2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.