期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：12
页码：113
出版社：SERSC
摘要：In order to prevent the moving vehicle shadows from being wrongly detected as the target, a shadow detection algorithm fusing chromaticity, brightness and edge gradient information is proposed in this paper. Specifically, shadow feature image is established according to thevariation proportions of the chromaticity and the brightness of the foreground and the background of the moving target, and then the area with the maximum chromaticity is regarded as the vehicle search start point to gradually absorb the surrounding areaswith the richest edge gradient so as to form the vehicle body area, and then remaining area of the foreground not containing the vehicle body is regarded as the shadow candidate area, and then the region growing method is adopted to obtain various shadow sub-areas for integration so as to form the vehicle shadow area. The experiment result shows that this method has the advantages of little manual intervention, high shadow detection rate, etc.
关键词：Shadow detection; Region growing; Image division; ;in;telligent;transportatio;n
