[1]LIU Qing,QIN Xiu-li,WEN Song-bai,et al.The algorithm of shadowelimination based on YUV color space and graph theory[J].CAAI Transactions on Intelligent Systems,2010,5(6):556-560.
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The algorithm of shadowelimination based on YUV color space and graph theory

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 6 Page number: 556-560 Column: 学术论文—机器感知与模式识别 Public date: 2010-12-25
Title:
The algorithm of shadowelimination based on YUV color space and graph theory
Author(s):
LIU Qing;  QIN Xiu-li;  WEN Song-bai;  GUO Jian-ming
School of Automation, Wuhan University of Technology, Wuhan 430063, China
Keywords:
foreground segmentation;  shadow elimination;  YUV color space;  graphtheory
CLC:
TP391.41
DOI:
-
Abstract:
In intelligent video surveillance systems, the moving cast shadows are often mistaken as the object due to its own properties. Consequently, a YUV color spacebased theory and a graphtheorybased shadow detection method were proposed to improve the quality of detection. First, the precise seeds of the foreground and shadow were obtained by the YUV color space based on the comprehensive consideration of luminance and chrominance information and morphological filtering. Then the maximum flow minimum cut graph theory algorithm was employed to obtain the optimized segmentation of the shadow and target. Experimental results show that the proposed method can detect and eliminate the cast shadow effectively.
References:
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