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Proceedings Article

Video-based freeway-monitoring system using recursive vehicle tracking

[+] Author Affiliations
Brian Gloyer, Kai-Yeung Siu

Univ. of California/Irvine (USA)

Hamid K. Aghajan, Thomas Kailath

Stanford Univ. (USA)

Proc. SPIE 2421, Image and Video Processing III, 173 (March 23, 1995); doi:10.1117/12.205477
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From Conference Volume 2421

  • Image and Video Processing III
  • Robert L. Stevenson; Sarah A. Rajala
  • San Jose, CA | February 05, 1995

abstract

An image processing and object tracking approach is proposed for the design of a video-based freeway traffic monitoring system. Proper estimation of the traffic speed in different lanes of a freeway allows for timely detection of possible congestions. The proposed method consists of a road modeling stage and a vehicle tracking stage. In the first stage, a three-dimensional model of the background road image is generated using several initial frames. In the tracking stage, each car in the scene is isolated and tracked over many frames, and by mapping its coordinates to the road's 3D model, an estimate of its velocity on the road is produced. The algorithm runs in real-time on a workstation. Experimental results on frame sequences taken from Santa Ana area freeways will be presented.

© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Brian Gloyer ; Hamid K. Aghajan ; Kai-Yeung Siu and Thomas Kailath
"Video-based freeway-monitoring system using recursive vehicle tracking", Proc. SPIE 2421, Image and Video Processing III, 173 (March 23, 1995); doi:10.1117/12.205477; http://dx.doi.org/10.1117/12.205477


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