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《Journal of Electronic Measurement and Instrument》 2010-06
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Object tracking algorithm based on the feature fusion points

Wang Jinhua Cao Jie Li Yu Ren Chongyu (College of Electrical Engineering and Information Engineering of Lanzhou University of Technology, Lanzhou 730050, China)  
Through combining the color feature and the texture feature of the target, a target model represented by both the color and the texture of the target is constructed. A feature point matching function is built by Mahalanobis distance. Position of the feature point in the next frame of the image is predicted using Adaptive Kalman Filter(AKF). The purpose of tracking targets in a real-time and accurate way can be realized by positioning the target accurately with feature point. Experiments show that our method is effective and robust for illumination variation, shape similarity as well as the partial-block tracking.
【Fund】: 甘肃省教育厅研究生导师基金(编号:0914ZTB003)资助项目;; 甘肃省自然基金(编号:0714ZSB015)资助项目
【CateGory Index】: TP391.41
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