NAOC Open IR
基于粒子滤波与局部搜索的视频目标跟踪
张楠; 刘承志; 范存波; 韩兴伟; 李振伟; 孙明国
2013
Source Publication微电子学与计算机
ISSN1000-7180
Volume30Issue:9Pages:1
Abstract为了提高视频目标跟踪的鲁棒性和准确性,本文提出了基于局部搜索(Local Search)和粒子滤波(Particle Filter)相结合的视频目标跟踪方法--LSPF (Local Search Particle Filter)算法.利用粒子滤波得到样本的权值后,将局部搜索用于每一个粒子,使权值小的粒子收敛于邻近的权值较大的粒子处,有效克服了传统PF算法的粒子退化问题.实验结果表明,传统PF算法平均跟踪误差为10.89,而本文提出的LSPF算法平均跟踪误差仅为3.49,在跟踪性能上有了很大改善.尤其当目标受到干扰时,LSPF算法仍能实现对目标的准确跟踪,为稳定跟踪提供了有利保障.
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/47822
Collection中国科学院国家天文台
Affiliation中国科学院国家天文台
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
张楠,刘承志,范存波,等. 基于粒子滤波与局部搜索的视频目标跟踪[J]. 微电子学与计算机,2013,30(9):1.
APA 张楠,刘承志,范存波,韩兴伟,李振伟,&孙明国.(2013).基于粒子滤波与局部搜索的视频目标跟踪.微电子学与计算机,30(9),1.
MLA 张楠,et al."基于粒子滤波与局部搜索的视频目标跟踪".微电子学与计算机 30.9(2013):1.
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