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http://dx.doi.org/10.9708/jksci.2010.15.10.035

Real-time Forward Vehicle Detection Method based on Extended Edge  

Ji, Young-Suk (숭실대학교 전자공학과)
Han, Young-Joon (숭실대학교 전자공학부)
Hahn, Hern-Soo (숭실대학교 전자공학부)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.10, 2010 , pp. 35-47 More about this Journal
Abstract
To complement inaccurate edge information and detect correctly the boundary of a vehicle in an image, an extended edge analysis technique is presented in this paper. The vehicle is detected using the bottom boundary generated by a vehicle and the road surface and the left and right side boundaries of the vehicle. The proposed extended edge analysis method extracts the horizontal edge by merging or dividing the nearby edges inside the region of interest set beforehand because various noises deteriorates the horizontal edge which can be a bottom boundary. The horizontal edge is considered as the bottom boundary and the vertical edges as the side boundaries of a vehicle if the extracted horizontal edge intersects with two vertical edges which satisfy the vehicle width condition at the height of the horizontal edge. This proposed algorithm is more efficient than the other existing methods when the road surface is complex. It is proved by the experiments executed on the roads having various backgrounds.
Keywords
Vehicle Detection; Extended Edge Analysis; Drive Assistive System;
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Times Cited By KSCI : 2  (Citation Analysis)
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