Self-adaptive Visual Tracking Method for Illumination Varying Based on Multi-feature Fusion

被引：1

作者：

Su, Jie ^{[1
]}

Yin, Gui-sheng ^{[1
]}

Wei, Zhen-hua ^{[2
]}

Liu, Ya-Hui ^{[3
]}

机构：

[1] Harbin Engn Univ, Dept Comp Sci & Technol, Harbin, Peoples R China

[2] North China Elect Power Univ, Dept Comp Sci & Technol, Beijing, Peoples R China

[3] Beijing Informat Sci & Technol Univ, Dept Comp Ctr, Beijing, Peoples R China

来源：

ITCS: 2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, PROCEEDINGS, VOL 2, PROCEEDINGS | 2009年

基金：

美国国家科学基金会;

关键词：

visual tracking; fisher criterion; histogram; feature fusion; particle filter;

D O I：

10.1109/ITCS.2009.296

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 paper proposes a visual tracking method based on dynamic extracting multi-features to realize the robust and accurately visual tracking. First select the features that can compensate for each other to set up the feature mode using histogram. Second build the correlation function of local background illumination varying and dynamic amending features of target. Dynamic adjust feature set according to the variation of local background illumination using Fisher criterion. Experiments and analysis done though the Particle-filter scheme show that this method can realize the robust visual tracking while environment of illumination varying and reduce the computational complexity.

引用

页码：461 / +

页数：2

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