Non-Rigid Object Tracking by Anisotropic Kernel Mean Shift

作     者：齐苏敏 黄贤武 QI Sumin1,2,HUANG Xianwu1(1.School of Electronics and Information Engineering,Soochow University,Suzhou 215021,China;2.Department of Computer Science,Qufu Normal University,Qufu 273165,China)

作者机构：School of Electronics and Information EngineeringSoochow University Department of Computer ScienceQufu Normal UniversityQufu 273165China 

出 版 物：《Transactions of Tianjin University》 (天津大学学报（英文版）)

年 卷 期：2007年第13卷第5期

页      面：370-374页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by National Natural Science Foundation of China(No.30300088) 

主　　题：object tracking mean shift anisotropic kernel modal matching 

摘      要：Mean shift,an iterative procedure that shifts each data point to the average of data points in its neighborhood,has been applied to object ***,the traditional mean shift tracker by isotropic kernel often loses the object with the changing object structure in video sequences,especially when the object structure varies *** paper proposes a non-rigid object tracker by anisotropic kernel mean shift in which the shape,scale,and orientation of the kernels adapt to the changing object *** experimental results show that the new tracker is self-adaptive and approximately twice faster than the traditional tracker,which ensures the robustness and real time of tracking.