An improved particle swarm optimization particle filter algorithm based on harmony search

Author(s):  
Zhen-dong Liu ◽  
Yi-ming Fang ◽  
Le Liu ◽  
Xiao-dong Zhao
2012 ◽  
Vol 239-240 ◽  
pp. 1368-1372
Author(s):  
Hai Tao Yao ◽  
Hai Qiang Chen ◽  
Tuan Fa Qin

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.


2021 ◽  
Vol 187 ◽  
pp. 206-211
Author(s):  
Jin Yang ◽  
Xuerong Cui ◽  
Juan Li ◽  
Shibao Li ◽  
Jianhang Liu ◽  
...  

2013 ◽  
Vol 32 (2) ◽  
pp. 432-435
Author(s):  
Zhi-min CHEN ◽  
Yu-ming BO ◽  
Pan-long WU ◽  
Meng-chu TIAN ◽  
Shao-xin LI ◽  
...  

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