| Non-Rigid Object Tracking by Anisotropic Kernel Mean Shift |
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| 作者姓名： | 齐苏敏 黄贤武 |
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| 作者单位： | School of Electronics and Information Engineering Soochow University，Department of Computer Science，Qufu Normal University，Qufu 273165，China，School of Electronics and Information Engineering，Soochow University，Suzhou 215021，China，Suzhou 215021，China |
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| 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 tracker.However,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 fast.This 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 structure.The 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.
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| 关 键 词： | 目标跟踪 各向异性 模型匹配 计算方法 |
| 修稿时间： | 2006-09-12 |
Non-Rigid Object Tracking by Anisotropic Kernel Mean Shift |
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| QI Sumin,HUANG Xianwu.Non-Rigid Object Tracking by Anisotropic Kernel Mean Shift[J].Transactions of Tianjin University,2007,13(5):370-374. |
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| Authors: | QI Sumin HUANG Xianwu |
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| Institution: | 1. School of Electronics and Information Engineering, Soochow University, Suzhou 215021, China;Department of Computer Science, Qufu Normal University, Qufu 273165, China
2. School of Electronics and Information Engineering, Soochow University, Suzhou 215021, China |
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| Abstract: | Mean shift,an iterative procedure that shifts each data point to the average of data points in its neighborhood,has been applied to object tracker.However,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 fast.This 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 structure.The 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. |
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| Keywords: | object tracking mean shift anisotropic kernel modal matching |
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