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Moving target extraction and background reconstruction algorithm
Qiu, Shi1; Li, Xuemei2
Department光谱成像技术研究室
2020
Source PublicationJournal of Ambient Intelligence and Humanized Computing
ISSN18685137;18685145
Contribution Rank1
Abstract

It is difficult for the computer to distinguish the target from the background due to the long-time static of the target after moving. A new moving target detection and background reconstruction algorithm is proposed and is applied into the RGB video for the first time. Firstly, the proposed algorithm builds a model from the time dimension to extract the changed region. Then, it combines with the space dimension information to completely extract the moving target. The spatiotemporal correlation model is established to realize the construction of pure background. The experimental results show that the proposed algorithm can effectively reconstruct the background and the recognition rate of moving target is high. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

KeywordMoving target extraction Background reconstruction RGB Time dimension Space dimension
DOI10.1007/s12652-020-02619-2
Indexed BySCI ; EI
Language英语
WOS IDWOS:000582098500001
PublisherSpringer Science and Business Media Deutschland GmbH
EI Accession Number20204409411023
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/93772
Collection光谱成像技术研究室
Corresponding AuthorLi, Xuemei
Affiliation1.Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China;
2.Shanghai Jiao Tong University, Shang hai, China
Recommended Citation
GB/T 7714
Qiu, Shi,Li, Xuemei. Moving target extraction and background reconstruction algorithm[J]. Journal of Ambient Intelligence and Humanized Computing,2020.
APA Qiu, Shi,&Li, Xuemei.(2020).Moving target extraction and background reconstruction algorithm.Journal of Ambient Intelligence and Humanized Computing.
MLA Qiu, Shi,et al."Moving target extraction and background reconstruction algorithm".Journal of Ambient Intelligence and Humanized Computing (2020).
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