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An enhanced segmentation on vision-based shadow removal for vehicle detection

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3 Author(s)
Chun-Ting Chen ; Department of Applied Electronics Technology, NTNU, Taipei, Taiwan, R.O.C. ; Chung-Yen Su ; Wen-Chung Kao

We present an enhanced segmentation method to reduce the interference of shadows for vehicle detection. The main advantage of the proposed method is its low-complexity. We use only the luminance of an image for shadow removal and keep the chrominance components of the image intact. The luminance of the current image is enhanced and each pixel is compared with a pixel-dependent threshold for locating shadow regions. With that, the shadow regions can be located more accurately and the moving objects can be extracted more completely. Experimental results verify the proposed approach and show that it is helpful for vehicle detection.

Published in:

Green Circuits and Systems (ICGCS), 2010 International Conference on

Date of Conference:

21-23 June 2010