Computer Vision System for Automatic Vehicle Classification
Publication: Journal of Transportation Engineering
Volume 120, Issue 6
Abstract
In the present paper, a computer vision system composed of five models is proposed for vehicle classification. The five models are: (1) The perspective projection model; (2) the length measurement model; (3) the width and height estimation model; (4) the profile character extraction model; and (5) the tree‐type classification model. As a significant feature, the third model provides an effective way to estimate width and height of vehicles from video images. This capability is not available in loop detector systems at present. The fourth model provides an approach to obtain two important profile characters of vehicle namely: (1) The front shape of a vehicle: flat front of projecting front; and (2) the number of units of which a vehicle is composed. With these characters, not only can buses be differentiated from trucks, but also vans can be separated from cars. Therefore, common drawbacks of present vehicle‐classification systems are remedied. Experimental results and suggestions for the future improvements are also discussed.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Blosseville, J. M., Krafft, C., Lenoir, F., Motyka, V., and Beucher, S. (1990). “TITAN: new traffic measurements by image processing.” Control, computers, communications in transportation, J. P. Perrin, ed., Pergamon Press, Elmsford, N.Y., 35–42.
2.
Bow, S. (1992). Pattern recognition and image processing. Marcel Dekker, Inc., New York, N.Y.
3.
Duda, R. O., and Hart, P. E. (1973). Pattern classification and scene analysis. John Wiley & Sons, Inc., New York, N.Y.
4.
Fukunaka, K. (1972). Introduction to statistical pattern recognition. Academic Press, New York, N.Y.
5.
Lu, Y., Hsu, Y., and Maldague, X. (1992). “Vehicle classification using infrared image analysis.” J. Transp. Engrg., 118(2), 223–240.
6.
Lyles, R. W., and Wyman, J. H. (1983). “An operational review of traffic data collection system.” ITE J., 53(12), 18–24.
7.
Pan, W., Kuah, G. K., Su, S., and Wang, A. (1991). “Automatic vehicle classification system.” Proc., Second Int. Conf. on Appl. of Advanced Technol. in Transp. Engrg., Y. J. Stephanedes and K. C. Sinha, eds., New York, N.Y., 11–15.
8.
Taylor, M. A. P., and Young, W. (1988). “Traffic analysis: new technology and new solutions.” Hargreen Publishing Co., Melbourne, Austrailia.
9.
Traffic monitoring guide. (1985). Federal Hwy. Admin., Office of Hwy. Plng. Hwy. Statistics Div., U.S. Department of Transportation, Washington, D.C.
10.
Yuan, X. (1992). “Computer vision for urban traffic data collection.” Tech. Rep., Dept. of Civ. Engrg., Concordia University, Montreal, Canada.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 120 • Issue 6 • November 1994
Pages: 861 - 876
Copyright
Copyright © 1994 American Society of Civil Engineers.
History
Received: May 25, 1993
Published online: Nov 1, 1994
Published in print: Nov 1994
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.