A New Mean Shift Based Algorithm for Tracking Targets with Three Degrees of Freedom

Zuo Jun-yi; Liang Yan; Zhao Chun-hui; Pan Quan

doi:10.3724/SP.J.1146.2006.01705

Volume 30 Issue 1

Jan. 2011

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Zuo Jun-yi, Liang Yan, Zhao Chun-hui, Pan Quan . A New Mean Shift Based Algorithm for Tracking Targets with Three Degrees of Freedom[J]. Journal of Electronics & Information Technology, 2008, 30(1): 172-175. doi: 10.3724/SP.J.1146.2006.01705

Citation:

Zuo Jun-yi, Liang Yan, Zhao Chun-hui, Pan Quan . A New Mean Shift Based Algorithm for Tracking Targets with Three Degrees of Freedom[J]. Journal of Electronics & Information Technology, 2008, 30(1): 172-175. doi: 10.3724/SP.J.1146.2006.01705

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A New Mean Shift Based Algorithm for Tracking Targets with Three Degrees of Freedom

doi: 10.3724/SP.J.1146.2006.01705

Received Date: 2006-11-02
Rev Recd Date: 2007-07-16
Publish Date: 2008-01-19

Abstract

Abstract

Standard Mean Shift tracker can only successfully locate the object center, but fail to find its orientation, which make it not robust to track thin object. To remedy this, an improved mean shift tracker is proposed in this paper. The new tracker use new object representation, where pixels are weighted with both their position-angles and normalized distances from target center, furthermore, pixels feature-angle, which can be seen as new feature, is introduced in. The new object representation can be conveniently integrated into the optimization framework of mean shift. By iterative optimization, both the location and orientation of targets can be precisely determined. Experimental results show the algorithm can get precise tracking results with low computational cost.

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References(1)

References

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