Vehicle Classification Using Infrared Image Analysis
Publication: Journal of Transportation Engineering
Volume 118, Issue 2
Abstract
This study applies image‐analysis techniques to classify vehicles on highways. The procedure of image analysis includes four stages: image acquisition, data processing, feature extraction, and object classification. An infrared image device system is used to record vehicle images on highways. A modified edge‐sharpening technique is derived in this study to filter out noise and to locate edges of bridge clusters simultaneously. A true classifier, including a modified kNN (k nearest neighbor) method, is also established for the classification of vehicles. The time complexity of the proposed algorithm is linear. The accuracy of the algorithm is examined for the classification of a single vehicle per image. The possibility of real‐time analysis for infrared image analysis is also discussed. The results of this study show that the image analysis has potential in the area of automatic traffic‐monitoring systems.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Aho, A. V., Hopcroft, J. E., and Ullman, J. D. (1982). Data structures and algorithms. Addison‐Wesley Publishing Co., Reading, Mass., 274.
2.
Truevision advanced raster graphics adapter, TARGA 8 user's guide. (1985). AT&T Electronic Photography and Image Ctr., Indianapolis, Ind.
3.
Dickinson, R. W., and Waterfall, R. C. (1984). “Image processing applied to traffic: 1. A general review.” Traffic Engrg. Control, 25, 6–13.
4.
Traffic monitoring guide. (1985). Federal Highway Admin., Office of Highway Planning Highway Statistics Div., U.S. Dept. of Transp.
5.
Fukunaka, K. (1972). Introduction to statistical pattern recognition. Academic Press, New York, N.Y., 177–195, 183–184.
6.
Hilbert, E. E., (1978). “Wide‐area detection system conceptual design study.” Report No. FHWA‐RD‐77‐86, Federal Highway Admin., Washington, D.C.
7.
“Introduction to the MVP‐AT, a machine vision processor.” (1988). Manual No. 272‐MP‐OO, Dorval, Quebec, 3, 4–6.
8.
Lyles, R. W., and Wyman, J. H. (1983). “An operational review of traffic data collection systems.” ITEJ., (Dec.) 18–24.
9.
Rosenfeld, A. (1984). “Image analysis: Progress, problems, and prospects.” Proc. Pattern Recognition, Inst. of Electrical and Electronics Engrs., New York, N.Y., 3–12.
10.
Schlutsmeyer, A. P. (1982). “Wide‐area detection system (WADS). “Report No. FHWA‐RS‐82‐144, Federal Highway Administration, Washington, D.C.
11.
Young, T. Y., and Fu, K.‐S. (1986). Handbook of pattern recognition and image processing. Academic Press, Orlando, Florida, 13–20.
12.
Vanzetti, R. (1972). Practical applications of infrared technique. John Wiley and Sons, Inc., New York, N.Y., 14.
Information & Authors
Information
Published In
Copyright
Copyright © 1992 ASCE.
History
Published online: Mar 1, 1992
Published in print: Mar 1992
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.