Adaptive Moving Cast Shadow Detection by Integrating Multiple Cues  

作　　者：LING Zhigang LU Xiao WANG Yaonan HE Xi 

机构地区：[1]College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

出　　处：《Chinese Journal of Electronics》2013年第4期757-762,共6页电子学报（英文版）

基　　金：This work is supported by the National High Technology Research and Development Program of China （863 Program） （No.2012AAl12312）, the National Natural Science Foundation of China （No.61175075） and Science and Technology Project of Ministry of Transport of China （No.201231849AT0）.

摘　　要：Moving cast shadow detection and removal is a key step for accurate object detection in intelligent transportation system. This paper proposes a robust cast shadow detection algorithm by integrating multiple cues. Firstly, a weak shadow detector is adopted to detect these potential shadow pixels; Then three adaptive shadow es- timators are designed and cascaded to integrate texture, chromaticity, brightness as well as spatial-temporal context for eliminating the object pixels so that this algorithm can robustly detect the moving cast shadow in the various envi- ronments; Lastly, spatial adjustment is employed to verify the shadow detection results of these three shadow esti- mators. Experimental results on indoor and outdoor video sequences show that this proposed algorithm can robustly detect moving cast shadow and rapidly adapt to variations in traffic surveillance scenarios.

关 键 词：Multiple cues  Adaptive shadow estima- tors Texture difference Chromaticity and brightness dis- tortion  Moving cast shadow detection. 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP273.2[自动化与计算机技术—计算机科学与技术]