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Proceedings Paper

Edge-based approach to moving object location
Author(s): Jung Soh; Byung-Tae Chun; Min Wang
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Paper 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.

Paper Details

Date Published: 23 March 1994
PDF: 10 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171061
Show Author Affiliations
Jung Soh, Systems Engineering Research Institute (South Korea)
Byung-Tae Chun, Systems Engineering Research Institute (South Korea)
Min Wang, Systems Engineering Research Institute (South Korea)

Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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