Moving shadow detection based on Susan algorithm

In Intelligent Transportation Systems, moving shadows have always been wrongly detected as foreground objects, thus causing bad effect on the latter targets tracking and identify. In order to subtract the shadows lie in different circumstances,there has put forward a method of moving shadow detection based on Image edge detection which using Susan algorithm. After getting the background with mixture Gaussian distribution, the moving foreground position can be accurately obtained via the background subtraction method, then use the Susan algorithm to detect the image edge in interested area. Finally, do shodow detection by analyzing the statistic characteristics of edge pixels. According to the experiment, this method is easy to operate and possesses high rate of accuracy, low rate of complexity, and well adapt to different kinds of shoadow distribution.