In this paper, an automatic traffic flow measuring system and a realtime image processing algorithm have been developed. The picture of moving vehicles taken by an industrial television (ITV) camera are digitized into sample points in odd ITV frames and the points are processed in even ITV frames by a personal computer. We detect the presence of vehicles by comparing the brightness of the sample points of vehicle with that of the road. After eliminating noises contained in the digitized sample points by appropriate smoothing techniques, we obtain a contour of each vehicle. Using the contour, the number of passing vehicles is effectively measured by counting the number of sample points of each vehicle. Also the type of a vehicle is easily figured out by counting the number of sample points corresponding to the width of vehicle's contour. The performance of the proposed algorithm is demonstrated by actual implementation. From the experimental results 1∼2% measurement error was observed. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Lee, T. S., Lee, E. M., Park, H. T., Kwag, Y. K., Lim, S. S., Baek, J. H., & Hwang, B. W. (2003). Implementation of traffic flow measuring algorithm using real-time dynamic image processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2626, pp. 78–87). Springer Verlag. https://doi.org/10.1007/3-540-36592-3_8
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