A video tracking method based on Niche Particle Swarm Algorithm-Particle Filter

Author

Li, Xin ; Chen, Wenjie ; Shang, Zengguang

Author_Institution

Sch. of Autom., Beijing Inst. of Technol., Beijing, China

fYear

2012

fDate

6-8 July 2012

Firstpage

4780

Lastpage

4783

Abstract

In order to improve the stability and robustness in video tracking based on particle filter. We proposed Niche Particle Swarm Algorithm-Particle Filter (NPSA-PF) which applies Niche Particle Swarm Algorithm to the re-sampling stage in particle filter. The ability of Niche Particle Swarm Algorithm which improves the particles´ local search ability and weakens the information sharing between particles, effectively reduces the tracking particles number and improves tracking stability and robustness. We use it in video tracking and the performance is validated to be effective.

Keywords

object tracking; particle filtering (numerical methods); particle swarm optimisation; video signal processing; NPSA-PF; information sharing; niche particle swarm algorithm particle filter; tracking stability; video tracking method; Information management; Mathematical model; Particle filters; Particle swarm optimization; Robustness; Stability analysis; Target tracking; Niche Particle Swarm Algorithm; Particle Filter; Video tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6359384

Filename

6359384