Color Space Based Shadow Segmentation of Moving Object
Jie Cao · Jisuanji fangzhen · 2008
The study of moving object based on video sequence has its positive significance in all areas. Traditional methods usually fail to tell the object information precisely through feature vectors subtracted in gray area. Various vectors can be used within the color area for effective image segmentation. Euclidean distance is computed for RGB color space and feature vectors are constructed in HSI space to realize the shadow segmentation. In order to improve the robustness and reliability of the algorithm, a statistic model is formed, and the theory region growing is introduced to avoid the false decisions caused by the vehicles of similar color to the shadow. The result of experiments show that it can figure out the shadow effectively.