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基于多特征融合的粒子滤波算法研究

陈善静 杨华 曾凯 杜石明

计算机工程2011,Vol.37Issue(7):178-180,3.
计算机工程2011,Vol.37Issue(7):178-180,3.DOI:10.3969/j.issn.1000-3428.2011.07.060

基于多特征融合的粒子滤波算法研究

Research on Particle Filter Algorithm Based on Multi-feature Fusion

陈善静 1杨华 1曾凯 1杜石明1

作者信息

  • 1. 脉冲功率激光技术国家重电子工程学院安徽省红外与低温等离子体重点实验室,合肥,230037
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摘要

Abstract

The traditional particle filter tracking algorithms is only based on color feature.And under complex background or shelter with color closing to targets', particle filter tracking algorithm can almost fail.Particle filter based on multi-feature fusion fuses targets' color characteristics and edge feature according to certain weighting coefficient to build a likelihood function as a criterion for tracking targets.It overcomes the shortage of tracking algorithm based on color feature only.Experimental results show that multi-feature particle filter tracking algorithm has good performance of tracking.

关键词

粒子滤波/多特征融合/边缘特征/目标跟踪

Key words

particle filter/ multi-feature fusion/ edge feature/ target tracking

分类

信息技术与安全科学

引用本文复制引用

陈善静,杨华,曾凯,杜石明..基于多特征融合的粒子滤波算法研究[J].计算机工程,2011,37(7):178-180,3.

基金项目

安徽省重点实验室基金资助项目(2007A0103013Y) (2007A0103013Y)

计算机工程

OACSCDCSTPCD

1000-3428

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