Adaptive shadow estimator for removing shadow of moving object

被引:67
作者
Choi, JinMin [1 ]
Yoo, Yung Jun [1 ]
Choi, Jin Young [1 ]
机构
[1] Seoul Natl Univ, INMC, SNU Engn Res Inst, Sch EECS,PIL,ASRI, Seoul 151600, South Korea
关键词
Estimate shadow; Remove shadow; Adaptive shadow estimator; Real-time surveillance system; CAST SHADOWS; MODEL;
D O I
10.1016/j.cviu.2010.06.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose an adaptive shadow estimator to detect and eliminate the shadow of a moving object while adapting to variation of illumination and the environment in an automatic manner. The proposed method discriminates between the shadow and the moving object by cascading three estimators which use the properties of chromaticity, brightness, and local intensity ratio. In the spatial adjustment step, the method compensates for accumulated errors in the cascading process. Experimental results show that our scheme can operate in real-time, outperforms existing methods, and rapidly adapts to variations in the environment. (c) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1017 / 1029
页数:13
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