Fast detection of vehicles based on the moving region
基于移动区域的快速车辆检测

A method for detecting vehicles was presented, which can remove the shadows fast. The main process is composed of three steps: moving region detection, shadow detection and edge detection. Firstly, achieve the moving region quickly using the self-adaptive background updating method. Then get the coarse shadow area where the shadow detection based on the HSV color space is only applied in. Finally, impose edge detection on both the moving regions and shadow areas. Subtraction of these two areas led to the detection of real vehicle. Experimental results show that this method can improve the efficiency of the moving vehicles detection greatly.