Edge-based approach to moving object location

Jung Soh; Byung-Tae Chun; Min Wang

doi:10.1117/12.171061

23 March 1994 Edge-based approach to moving object location

Jung Soh, Byung-Tae Chun, Min Wang

Proceedings Volume 2182, Image and Video Processing II; (1994) https://doi.org/10.1117/12.171061
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

This paper presents an edge-based background subtraction approach to moving object location from video frames. First, a background frame without moving objects is obtained. For each subsequent frame with objects, edge detection with thresholding is performed on both the background frame and the current frame. The difference of the two edge images is computed. To emphasize the areas containing edge pixels belonging to the moving object, a selective dilation operation is performed. Connected component analysis is applied to remove insignificant candidate regions. An erosion operation is applied to compensate for earlier dilation. Finally, unwanted areas formed by the shadows of the moving object are removed. Experimental results with road scenes to locate vehicles approaching toll booths on a highway entrance demonstrate the effectiveness of the proposed approach. The extracted vehicles are input to a classification module for classifying vehicles into useful categories.

Citation Download Citation

Jung Soh, Byung-Tae Chun, and Min Wang "Edge-based approach to moving object location", Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); https://doi.org/10.1117/12.171061

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