For real-time tracking of moving vehicles

the general and efficient method is based on Kalman filter. However

the false detection often exists when more than one objects approaches with each other. It causes error in target matching process. To overcome the above problem

this paper first considers the width/height ratio and occupancy ratio to make false detection judgment. Then a new moving vehicle segmentation algorithm based on feature points on contour is presented. Lastly

the tracking model based on extended Kalman filter is implemented. Experimental results demonstrate that the rule can recognize false detection quite accurately. The proposed vehicles segmentation method can segment the overlapped ones accurately and completely

and finally the tracking model based on extended Kalman filter is implemented to realize the real-time tracking.