Target tracking for mobile robot platforms via object matching and background anti-matching

被引:15
|
作者
Zhang, Xuguang [2 ]
Liu, Honghai [1 ]
Li, Xiaoli [2 ]
机构
[1] Univ Portsmouth, Sch Creat Technol, Intelligent Syst & Biomed Robot Grp, Portsmouth PO1 2DJ, Hants, England
[2] Yanshan Univ, Inst Elect Engn, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Peoples R China
基金
中国国家自然科学基金;
关键词
Target tracking; Background anti-matching; Color orientation codes; Entropy filter; Covariance matching; Motion compensation; OMNIDIRECTIONAL VISION;
D O I
10.1016/j.robot.2010.08.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study proposes a novel method for target tracking based on the combination of object matching and background anti-matching which take account of both the global property of covariance matching and local property of mean shift tracking synthetically. In the background anti-matching phrase, a certain number of background regions are extracted based on the feature of color orientation codes via an entropy filter, and the covariance matrix is adapted to match these regions to get the global motion of the background; further, the object matching is carried out by a mean-shift tracking algorithm. The proposed method is evaluated in various datasets in comparison with their counterpart algorithms; experimental results sufficiently demonstrate the effectiveness of the method proposed in this study. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1197 / 1206
页数:10
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