Visual Tracking Based on Particle Filter Algorithm

被引：0

作者：

Wang Yueling ^{[1
]}

Wang Rangding ^{[1
]}

机构：

[1] Ningbo Univ, CKC Software Lab, Ningbo 315211, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS & SIGNAL PROCESSING, 2009 | 2009年

关键词：

color histogram; particle filter; covariance; visual tracking;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a novel visual tracking algorithm. The algorithm integrates both color feature and the spatial information. By using spatial feature of object model and particle filter algorithm of color histogram, the similarity of the Bhattacharyya coefficients and marginal spatial density ratio between two frames is compared. Computer simulation results demonstrate that the proposed algorithm is more robust as compare to the traditional visual tracking algorithm which just using color feature.

引用

页码：9 / 13

页数：5

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