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Proceedings Paper

Video-based freeway-monitoring system using recursive vehicle tracking
Author(s): Brian Gloyer; Hamid K. Aghajan; Kai-Yeung Siu; Thomas Kailath
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Paper 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.

Paper Details

Date Published: 23 March 1995
PDF: 8 pages
Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); doi: 10.1117/12.205477
Show Author Affiliations
Brian Gloyer, Univ. of California/Irvine (United States)
Hamid K. Aghajan, Stanford Univ. (United States)
Kai-Yeung Siu, Univ. of California/Irvine (United States)
Thomas Kailath, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 2421:
Image and Video Processing III
Robert L. Stevenson; Sarah A. Rajala, Editor(s)

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