Research On Moving Target Tracking And Recognition Technology Based On Features Matching

Moving target tracking and recognition is a key technology in the field of computer vision, which combines image recognition, artificial intelligence, image processing and other subjects and used widely in the public safety, video surveillance, intelligent transport system.On the basis of moving target tracking and recognition algorithms, the paper put forwards the improved algorithms, and validated the effectiveness of the improved algorithm by experiments.First, in the terms of moving target tracking, the paper mainly studied the corrected background histogram based on Mean shift algorithm, and aiming at the problem of the existing algorithms in case of analogs in approximate interference and similar background with the target, the accuracy is not high. The paper combined the Person and Bhattachayya to improve the accuracy. Compared with the Mean shift algorithm and CBWH in the presence of the inference, the result showed that the improved algorithm has the high accuracy.Second, in terms of moving target recognition, the paper mainly studied the SIFT, and combined the interframe difference method, CBWH and SIFT in the moving target recognition in the field of multiple cameras. First of all, manually selected the target and get the target template; second, using the interframe difference method to get the moving target, then, using the SIFT between target template with the moving target to get the accurate target;finally,find the moving target in the second and third video. The result showed that the improved algorithm can find the target in the second and third video.At last, the result showed that the algorithms propose in the paper can track and recognize the target accurately.