A New Automatic Multiple Vehicle Detection Algorithm Based on Random Walk
一种新的随机游走多车辆检测算法

In the light of the detection of multiple vehicles in the traffic video sequence the paper presents an edge detection based random walk algorithm for accurately detecting and segmenting the multiple vehicles in the video. First, the regions of the moving vehicles are detected by the background differences and the edge information, and the skeleton structures are extracted from the detected vehicle regions. Secondly, the effective pixel markers, which are obtained from the skeleton structures, are taken as the object seeds in the random walk algorithm. Finally, the automatic detection of the vehicles is realized by using seeds to segment multiple vehicles in a random walk way.