@inproceedings{87d8f72f42f0469e8f5702e79fc91fd9,
title = "An enhanced segmentation on vision-based shadow removal for vehicle detection",
abstract = "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.",
keywords = "Background subtraction, Digital image processing, Object detection, Shadow removal",
author = "Chen, {Chun Ting} and Su, {Chung Yen} and Kao, {Wen Chung}",
year = "2010",
doi = "10.1109/ICGCS.2010.5542975",
language = "English",
isbn = "9781424468775",
series = "1st International Conference on Green Circuits and Systems, ICGCS 2010",
pages = "679--682",
booktitle = "1st International Conference on Green Circuits and Systems, ICGCS 2010",
note = "1st International Conference on Green Circuits and Systems, ICGCS 2010 ; Conference date: 21-06-2010 Through 23-06-2010",
}