Firefly algorithm (FA) based particle filter method for visual tracking

被引：37

作者：

Gao, Ming-Liang ^{[1
]}

Li, Li-Li ^{[1
]}

Sun, Xian-Ming ^{[1
]}

Yin, Li-Ju ^{[1
]}

Li, Hai-Tao ^{[1
]}

Luo, Dai-Sheng ^{[2
]}

机构：

[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo 255049, Peoples R China

[2] Sichuan Univ, Coll Elect & Informat Engn, Chengdu 610065, Peoples R China

来源：

OPTIK | 2015年 / 126卷 / 18期

基金：

中国国家自然科学基金;

关键词：

Visual tracking; Particle filter; Particle impoverishment; Firefly algorithm; OBJECT TRACKING; SURVEILLANCE;

D O I：

10.1016/j.ijleo.2015.05.028

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Particle filter algorithm has been proven to be a powerful tool in solving visual tracking problems. However, the problem of sample impoverishment which is brought by the procedure of re-sampling is a main handicap of the particle filter. In this work, an improved particle filter based on firefly algorithm is proposed to solve this problem. The particles in the particle filter are optimized using firefly algorithm before re-sampling. Thus, the number of meaningful particles can be increased, and the particles can approximate the true state of the target more accurately. Experimental results on visual tracking show that the proposed algorithm outperforms the standard particle filter and it can track targets robustly in various challenging conditions. (C) 2015 Elsevier GmbH. All rights reserved.

引用

页码：1705 / 1711

页数：7

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