Niche PSO Particle Filter with Particles Fusion for Target Tracking

被引：1

作者：

Yao, Haitao ^{[1
]}

Chen, Haiqiang ^{[1
]}

Qin, Tuanfa ^{[1
]}

机构：

[1] Guangxi Univ, Coll Comp Sci & Elect Informat, Nanning 530004, Peoples R China

来源：

MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2 | 2013年 / 239-240卷

关键词：

Particle filter; niching particle swarm Optimization; video tracking;

D O I：

10.4028/www.scientific.net/AMM.239-240.1368

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An improved particle filter algorithm is proposed to track a randomly moving target in video. In particle filter framework, a particle swarm optimization improved by niche technique which implemented by restricted competition selection is integrated. It can move particles into high likelihood area of target and form multi-population distribution, so that the searching capability of particles is enhanced and then the adaptation to the change of dynamic target state is improved. The particles of niching particle swarm optimization and the particles of particle filter are integrated for new particle weight calculation and finally realize a new particle filter for target tracking in video sequence.

引用

页码：1368 / 1372

页数：5

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