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

作     者：Hongpeng Yin Yi Chai Simon X. Yang Xiaoyan Yang 

作者机构：College of Automation Chongqing University Chongqing 400044 E R. China State Key Laboratory of Power Transmission Equipment & System Security and New Technology College of Automation Chongqing University Chongqing 400044 P. R. China School of Engineering University of Guelph Guelph N1G 2W1 Canada 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2011年第22卷第4期

页      面：587-592页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 080402[工学-测试计量技术及仪器] 070104[理学-应用数学] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0701[理学-数学] 

基　　金：supported by the Fundamental Research Funds for the Central Universities Project(CDJZR10170010) 

主　　题：mean shift frame-difference method target tracking,computer vision. 

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 tar- get 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.