Mutual information for enhanced feature selection in visual tracking

被引：1

作者：

Stamatescu, Victor ^{[1
]}

Wong, Sebastien ^{[2
]}

Kearney, David ^{[1
]}

Lee, Ivan ^{[1
]}

Milton, Anthony ^{[1
]}

机构：

[1] Univ S Australia, Mawson Lakes, SA, Australia

[2] Def Sci & Technol Org, Edinburgh, Midlothian, Scotland

来源：

AUTOMATIC TARGET RECOGNITION XXV | 2015年 / 9476卷

关键词：

visual tracking; feature selection; infomax space; mRMR;

D O I：

10.1117/12.2176556

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we investigate the problem of fusing a set of features for a discriminative visual tracking algorithm, where good features are those that best discriminate an object from the local background. Using a principled Mutual Information approach, we introduce a novel online feature selection algorithm that preserves discriminative features while reducing redundant information. Applying this algorithm to a discriminative visual tracking system, we experimentally demonstrate improved tracking performance on standard data sets.

引用

页数：11

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