Research on Moving Vehicle Detection in the Presence of Occlusion

Occlusion is an important problem of the moving target detection. This paper proposed a new method of vehicle detection according to the deficiencies of common vehicle detection methods. Firstly, the background is modeled through the improved histogram-mean model to extract more accurate background model and update in real-time; then we obtained the background through background subtraction and supplement edge information; at last get the complete foreground information of vehicle by the morphological to denoise and fill the empty positions of windows. Based on the occlusion of target in the foreground, this paper presents an effective method to obtain the accurate vehicles using adhesion point detection. The experimental results show that this method can accurately detect various types of vehicles, the computational complexity is low, be able to extract traffic information in real-time, and solved the problem of vehicle occlusion.