Multi-template Matching Algorithm Based on Adaptive Fusion

A target recognition method based on adaptive fusion of multiple matching results was proposed, in order to take advantage of the gray information and feature information in forward-looking infrared (FLIR) target recognition. On the basis of gray-value matching and feature matching, the primary decision based on the proposed adaptive analytic hierarchy process (AHP) and the secondary decision based on the overlap area and the local searching were utilized, thereby the final matching result was generated. Experimental results show that the proposed method can overcome the false matching caused by feature template matching effectively, and improve the accuracy of target matching, and especially in case of complicated background, scale difference or viewpoint difference, the proposed algorithm has better robustness.