Target Matching of Vehicle Algorithm Based on Cross-projection Entropy

Algorithms based on gray scale correlation method are frequently used in target matching of vehicle,but they are affected heavily by change of light and noises.Local cross entropy algorithm has higher detection accuracy than gray scale correlation method,but high computational cost.So the idea of combining image cross entropy with projection vector is proposed that is introduced to target detection of vehicle in complex traffic scenario.This detection algorithm has good anti-shading capability and good detection result can be obtained in high or low light condition,and also good running time compared with gray scale correlation algorithm.The correctness of simulation result is verified by experiment.