Niche PSO Particle Filter with Particles Fusion for Target Tracking

Hai Tao Yao; Hai Qiang Chen; Tuan Fa Qin

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Niche PSO Particle Filter with Particles Fusion...

Niche PSO Particle Filter with Particles Fusion for Target Tracking

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1368-1372

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1368

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Online since:

December 2012

Authors:

Hai Tao Yao, Hai Qiang Chen, Tuan Fa Qin

Keywords:

Niching Particle Swarm Optimization, Particle Filter (PF), Video Tracking

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