Fast-moving target tracking based on mean shift and frame-difference methods

查看全文 作　　者：Hongpeng [1]Yin;Yi [1,2]Chai;Simon X. [3]Yang;Xiaoyan [1]Yang

机构地区：[1]College of Automation, Chongqing University, Chongqing 400044, E R. China;[2]State Key Laboratory of Power Transmission Equipment & System Security and New Technology, College of Automation, Chongqing University, Chongqing 400044, P. R. China;[3]School of Engineering, University of Guelph, Guelph N1G 2W1, Canada

出　　处：《Journal of Systems Engineering and Electronics》索引2011年第22卷第4期,共6页

基　　金：supported by the Fundamental Research Funds for the Central Universities Project(CDJZR10170010) 摘　　要：The mean shift tracker has difficulty in tracking fast moving targets and suffers from tracking error accumulation problem.To overcome the limitations of the mean shift method,a new approach is proposed by integrating the mean shift algorithm and frame-difference methods.The rough position of the moving target is first located by the direct frame-difference algorithm and three-frame-difference algorithm for the immobile camera scenes and mobile camera scenes,respectively.Then,the mean shift algorithm is used to achieve precise tracking of the target.Several tracking experiments show that the proposed method can effectively track first moving targets and overcome the tracking error accumulation problem. 关键词：移动目标跟踪差方法漂移均值帧差差分算法误差积累位置移动

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Fast-moving target tracking based on mean shift and frame-difference methods

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