An Effective Shadow Detection Approach in Traf.c Scenes
Accurate moving objects segmentation is an essential problem in intelligent video surveillance system. However, the existence of unexpected moving cast shadows frequently lead to errors in further scene analysis. This paper presents a novel method that combines color space and corner feature to detect and remove cast shadows of moving vehicles in traf.c scenes. The two features cooperate well to distinguish vehicles from cast shadows by proposed algorithm, Multiple Masks Method. The proposed algorithm has been tested on suf.cient video sequences taken under different illumination conditions, various shadow orientations and shadow sizes. The results have revealed that shadows can be successfully eliminated and thus good vehicle segmentation can be obtained.
WANG Bin FENG Yuan-Jing GUO Hai-Feng ZHANG Gui-Jun
Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou 310023, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）