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《Opto-Electronic Engineering》 2010-10
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Object Tracking Algorithm Based on Combining Dynamics Template Matching and Kalman Filter

LIANG Xi-ning,YANG Gang,YU Xue-cai,WANG Shi-yang, ZHU Liang-xiao,SU Ke,CHEN Tao ( University of Electronic Science and Technology of China, Chengdu 610054, China )  
The moving object detection is a prerequisite and difficult point in the video tracking system to realize tracking. In order to detect moving object effectively, an object tracking algorithm is proposed based on combining dynamics template matching and Kalman filter. First, make the former two frames inter-difference to get the area of the moving object and extract the feature points. Then, find the best match with the object model candidate object location by Kalman filter in the search area and match it with the object template of the current frame. Finally, the loss rate of feature points will serve as the limited threshold, and we update template according to dynamic template update strategy. Several experiments of the object tracking show that the approach is accurate and fast, and it has a better robust performance during the posture changing, the size changing and the shelter instance.
【Fund】: 863基金资助项目(2010AAJ206)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 4 Hits
1 CHEN Tao-tao,TIAN Yu-peng (College of Automation, Nanjing University of Aeronautics and Astronautics Nanjing 210016);A Real-Time No-Rigid Detection and Tracking Algorithm[J];Journal of University of Electronic Science and Technology of China;2007-01
2 YU Dan,WEI Wei,ZHANG Yuan-hui ( College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China );Dynamic Target Tracking with Kalman Filter as Predictor[J];Opto-Electronic Engineering;2009-01
3 Liu Zongpu1,Zhao Shuguang1,Pan Xianghe1,Zhao jun2(1.College of Info.Science & Technology,Donghua University,Shanghai 201620,CHN;2.Xi′an Institute of Zhongxing Communication Ltd.,Xi′an 710071,CHN);Approach to Tracking of Video Moving Objects by Fusing Kalman Prediction and Mean-shift Search[J];Optoelectronic Technology;2009-01
4 PEI Cong,DAI Li-ling,LU Zhang-ping;A simplified algorithm based on sift for the quick image matching[J];Manufacturing Automation;2010-01
【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 DUAN Qi-changa,ZHOU Qia,DUAN Panb ( a. College of Automation; b. College of Electrical Engineering, Chongqing University, Chongqing 400044, China );Face Contour Tracking by Combing Level Set Method and Particle Filtering[J];Opto-Electronic Engineering;2010-03
2 CHEN Yao,YUAN Jimin,CHENG Jiangke(Computer College of Panzhihua University,Panzhihua 617000);Design of Monitoring System Based on Opencv[J];Computer Programming Skills & Maintenance;2010-12
3 JIANG Zhong-min,ZHAO Jian-min,ZHU Xin-zhong,XU Hui-ying (College of Mathematics Physics and Information Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, China);Video Moving Target Tracking Algorithm Based on Combination of Mean Shift and Kalman Predictor[J];Computer Era;2010-02
4 KONG Ya-guang,JIANG Guang-ji,YU Liang (School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China);Research of the Algorithm for Real-Time Red Light Runners Vehicles Tracking Based on Improved Mean Shift[J];Journal of Jiangnan University(Natural Science Edition);2010-04
【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 WANG Zhao-zhong1,ZHOU Fu-gen1,LIU Zhi-fang1,YANG Jian-feng2(1.Image Processing Center,Beihang University,Beijing 100083,China; 2.Xi′an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi′an 710068,China);Image matching algorithm with high precision[J];Infrared and Laser Engineering;2006-06
2 GAO Qin LI Zhi qiang DU Xue xin (Ordnance Engineering College Shijiazhuang 050003);A New Adaptive Kalman Filtering Algorithm[J];Modern Radar;2001-06
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