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浙江大学学报(工学版)
J4  2012, Vol. 46 Issue (2): 212-217    DOI: 10.3785/j.issn.1008-973X.2012.02.005
电气工程     
基于颜色纹理特征的均值漂移目标跟踪算法
戴渊明, 韦巍, 林亦宁
浙江大学 电气工程学院,浙江 杭州 310027
An improved Mean-shift tracking algorithm based on
color and texture feature
DAI Yuan-ming, WEI Wei, LIN Yi-ning
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
 全文: PDF 
摘要：

针对经典均值漂移跟踪算法采用单一的颜色特征对目标进行跟踪检测存在的不足，提出一种将纹理特征与颜色特征相结合的改进均值漂移目标跟踪算法.该算法首次提出特征联合相似度的概念，通过均值漂移算法联合相似度的最大化计算，正确快速地获取新一帧图像跟踪目标的位置.实验结果表明，该算法具有更高的可靠性，同时满足一般目标跟踪任务的实时性要求.
关键词： 目标跟踪;  均值漂移;  联合相似度;  颜色特征;  纹理特征    
Abstract:

Aimed at the defect of classic Mean-shift tracking algorithm which is vulnerable to similar background inference for using single color feature, an improved color and texture features combined Mean-shift tracking algorithm is presented. Feature joint similarity was introduced for the first time. By maximizing the integrated similarity using Mean-shift algorithm the center of target in the new frame can be obtained accurately and rapidly. Experiments show that the proposed algorithm provides more reliable performance while satisfying the real-time requirements of general target tracking tasks.
Key words: object tracking    Mean-shift    integrated similarity    color feature    texture feature
出版日期: 2012-03-02
:  TP 391.41  
基金资助:

 国家“863”高技术研究发展计划资助项目 (2008AA042602)；国家自然科学基金资助项目(60704030)；中央高校基本科研业务费专项资金资助项目.
通讯作者: 韦巍,男,教授,博导.     E-mail: wwei@zju.edu.cn
作者简介: 戴渊明(1982—),男,博士生,从事机器视觉与智能控制方向科研工作.E-mail: daiym@zju.edu.cn
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戴渊明, 韦巍, 林亦宁. 基于颜色纹理特征的均值漂移目标跟踪算法[J]. J4, 2012, 46(2): 212-217.

DAI Yuan-ming, WEI Wei, LIN Yi-ning. An improved Mean-shift tracking algorithm based on
color and texture feature. J4, 2012, 46(2): 212-217.

链接本文:

http://www.zjujournals.com/xueshu/eng/CN/10.3785/j.issn.1008-973X.2012.02.005    或    http://www.zjujournals.com/xueshu/eng/CN/Y2012/V46/I2/212

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