一种基于纹理模型的Mean Shift目标跟踪算法<sup>*</sup>

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Abstract In Mean Shift tracking algorithm, model representation of the tracked target has great influence on the results of tracking. By analyzing image features of nine uniform texture models of Local Binary Pattern (LBP), five uniform modes related to the edge and the corner are used to represent the object model, which is called FLBP_8,1, and FLBP_8,1 is put into Mean Shift algorithm for object tracking. The edge is combined with its texture effectively by FLBP_8,1. The key pixels of object mode are extracted automatically, and a few of them are used to represent the accurate object. Thus low computational complexity is obtained. Experimental results show that the proposed algorithm gets better performance in accuracy and speed of tracking than RGB based method under complex conditions.

Key words： Object Tracking Local Binary Pattern (LBP) Texture Model Mean Shift

Received: 03 August 2006

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	Articles by authors
	NING JiFeng
	WU ChengKe

Cite this article:

NING JiFeng,WU ChengKe. A Mean Shift Tracking Algorithm Based on Texture Model[J]. , 2007, 20(5): 612-618.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2007/V20/I5/612

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