Research on highway vehicle detection algorithm based on video image

In order to solve the problem that vehicle detection rate can be affected in complex scenarios, authors put forward the adaptive method based on GMM which sets up and updates the background and use the average neighbourhood based on HSV fast shadow elimination algorithm which improves the speed of shadow elimination. For occluded vehicles, authors use the recognition algorithm based on Kalman Filter which blocks vehicle identification, then authors adopts pyramid hierarchical search algorithm based on the template matching which segments the occluded vehicles. The experimental results show that the algorithm is simple and effective and the detection rate of vehicle is 97%, which meets the requirements of vehicle detection completely.