An Automatic Traffic Surveillance System for Vehicle Tracking and Classification-Reference-Cited by-同舟云学术

An Automatic Traffic Surveillance System for Vehicle Tracking and Classification

Published:2003 Issue: Volume: Page:379-386
ISSN:0302-9743
Container-title:Image Analysis
language:
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Author:

Yu Shih-Hao,Hsieh Jun-Wei,Chen Yung-Sheng,Hu Wen-Fong

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45103-X_52

Reference6 articles.

1. D. Beymer, et al., “A real-time computer vision system for measure traffic parameters,” in Pro. IEEE Conf. CVPR, Puerto Rico, pp. 496–501, June 1997.

2. S. Gupte, et al., “Detection and classification of vehicles,” IEEE Transactions on ITS, vol. 3, no. 1, pp. 37–47, March 2002.

3. G. D. Sullivan, et al., “Model-based vehicle detection and classification using orthographic approximations,” Image Vision Computing, vol. 15, no. 8, pp.649–654, Aug. 1997.

4. Y.-K. Jung, K.-W. Lee, and Y.-S. Ho, “Content-based event retrieval using semantic scene interpretation for automated traffic surveillance,” IEEE Transactions on ITS, vol. 2, no. 3, pp.151–163, Sept. 2001.

5. A. J. Lipton, et al., “Moving target classification and tracking from real-time video,” in Proc. IEEE Workshop Applications of Computer Vision, 1998, pp.8–14.

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