Research on Target Tracking Algorithm based on Particle Filter and Mean-Shift

被引：1
|
作者：
Wu, Yanhai [1 ]
Xie, Xiamin [1 ]
Han, Zishuo [1 ]
机构：
[1] Xian Univ Sci & Technol, Xian 710054, Shaanxi, Peoples R China
来源：
FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING II, PTS 1 AND 2 | 2014年 / 457-458卷
关键词：
Mean-Shift; Particle Filter; target tracking; iteration; algorithm;
D O I：
10.4028/www.scientific.net/AMM.457-458.1050
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Since Mean-Shift tracking algorithm always falls into local extreme value when the target was sheltered and the particle filter tracking algorithm has huge calculation and degeneracy phenomenon, a new target tracking algorithm based on Mean-Shift and Particle Filter combination is proposed in this paper. First, this paper introduces the basic theory of Mean-Shift and Particle Filter tracking algorithm, and then presents the new target tracking which the Mean-Shift iteration embeds Particle Filter algorithm. Experiment results show that the algorithm needs less computation, while the real-time tracking has been guaranteed, robustness has been improved and the tracking results has been greatly increased.
引用
收藏
页码：1050 / 1053
页数：4
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