Target Tracking Based on Adaptive Particle Filter Under Complex Background

CHANG Fa-liang; MA Li; LIU Zeng-xiao; QIAO Yi-zheng

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Target Tracking Based on Adaptive Particle Filter Under Complex Background

更新时间：2025-07-16

- Target Tracking Based on Adaptive Particle Filter Under Complex Background
- Acta Electronica Sinica Vol. 34, Issue 12, Pages: 2150-2153(2006)
- 作者机构：
  
  山东大学控制科学与工程学院,山东,济南,250061
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2006
- 稿件说明：
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CHANG Fa-liang, MA Li, LIU Zeng-xiao, et al. Target Tracking Based on Adaptive Particle Filter Under Complex Background[J]. Acta Electronica Sinica, 2006, 34(12): 2150-2153.
DOI：

CHANG Fa-liang, MA Li, LIU Zeng-xiao, et al. Target Tracking Based on Adaptive Particle Filter Under Complex Background[J]. Acta Electronica Sinica, 2006, 34(12): 2150-2153. DOI：

摘要

提出一种基于目标颜色特征的自适应粒子滤波算法

在非遮挡情况下

根据运动预测的准确程度自适应选择粒子数量和运动模型中高斯噪声的方差

保证跟踪的实时性和粒子的有效性;遮挡情况下改变目标的运动模型

使粒子只做布朗运动

并且各粒子经均值漂移算法的一步迭代进行优化

从而可以减少粒子数量以及更快恢复正确的跟踪.实验结果表明该算法具有较强的鲁棒性

能有效实现复杂场景下的目标跟踪.

Abstract

An adaptive particle filtering algorithm based on color feature is proposed.Under non-occlusion condition

adaptively choose the number of particles and the variance of Gaussian stochastic noise in the dynamic model based on the accuracy degree of the deterministic prediction to guarantee the real-time tracking and valid particles.Under occlusion

the dynamic modal is changed and the particles only do Brownian motion

then the particles are optimized by one-step iteration of the mean shift algorithm to decrease the number of particles and resume the right tracking more quickly.Experimental results indicate it is robust and has good performances under complex background.

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