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A Multispectral target tracking algorithm based on particle filter
Gao, Zhen-Zhen1,2; Zhang, Geng1; Hu, Bing-Liang1
2017
会议名称Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
会议录名称AOPC 2017: Optical Sensing and Imaging Technology and Applications
卷号10462
会议日期2017-06-04
会议地点Beijing, China
出版者SPIE
产权排序1
摘要

Target detection and tracking important in many applications including intelligent monitoring system, defense system and terminal guidance system. Aiming to solve the problem of simulated target tracking, this paper proposes an adaptive algorithm which uses the fusion of the spectral and morphological features of multispectral image to realize the target tracking based on the Particle Filter. Firstly, the target area is manually initialized in the multispectral image and the spectral and texture features of the target are extracted. Secondly, we build the adaptive tracking model of multiple features under the framework of Particle Filter. We validate the effectiveness of the proposed approach on the MATLAB platform. The results show that the proposed approach achieves accurate and stable multispectral target tracking in complex scenes by improving the efficiency of particles usage under defective tracking conditions, which is of great theoretical and practical values for the application of multispectral target tracking technology. © 2017 SPIE.

作者部门光谱成像技术实验室
DOI10.1117/12.2284791
收录类别EI ; ISTP
ISBN号9781510614055
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29921
专题光谱成像技术实验室
作者单位1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式
GB/T 7714
Gao, Zhen-Zhen,Zhang, Geng,Hu, Bing-Liang. A Multispectral target tracking algorithm based on particle filter[C]:SPIE,2017.
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