A Novel Particle Filtering Tracking Method Based on the Local Density of Particles

ZHANG Ji; WANG Hong-yuan

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A Novel Particle Filtering Tracking Method Based on the Local Density of Particles

更新时间：2026-09-04

- A Novel Particle Filtering Tracking Method Based on the Local Density of Particles
- Vol. 29, Issue 3, Pages: 93-97(2012)
- 作者机构：
  
  1. 1 常州大学机构信息科学与工程学院,江苏,常州,213164
  2. 2 常州市过程感知与互联技术重点实验室,江苏,常州,213164
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
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张继, 王洪元. 基于局部粒子密度的粒子滤波跟踪方法[J]. 微电子学与计算机, 2012, 29(3): 93-97.

ZHANG Ji, WANG Hong-yuan. A Novel Particle Filtering Tracking Method Based on the Local Density of Particles[J]. 2012, 29(3): 93-97.
张继, 王洪元. 基于局部粒子密度的粒子滤波跟踪方法[J]. 微电子学与计算机, 2012, 29(3): 93-97. DOI：

ZHANG Ji, WANG Hong-yuan. A Novel Particle Filtering Tracking Method Based on the Local Density of Particles[J]. 2012, 29(3): 93-97. DOI：

摘要

定义了欧氏空间内的局部粒子密度的概念

针对四种不同的情况作出分析

对优选粒子的优劣作出评价并指导后续的粒子重采样和模板更新过程

并在此基础上给出了一种新的基于局部粒子密度的目标跟踪方法.比较实验显示

相对于原始粒子滤波方法和其他粒子重要性重采样方法

该方法在保证跟踪有效性的同时

提高了跟踪效率.

Abstract

In this paper

we definite the conception

local density of particles in Euclidean Space

firstly.Then

take the scores of particles with the conception

and give four different cases to analysis the following procedure of particles re-sampling and model updating

and a novel particle filtering tracking method is proposed.Finally

experimental results show the efficiency and robustness of the proposed method.

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