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Object tracking via dense SIFT features and low-rank representation

Crossref DOI link: https://doi.org/10.1007/s00500-018-3571-5

Published Online: 2018-10-13

Published Print: 2019-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Yong

Luo, Xinbin

Ding, Lu

Wu, Jingjing
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61305016)

Fundamental Research Funds for the Central Universities (JUSRP1059)
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Text and Data Mining valid from 2018-10-13
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Article History

First Online: 13 October 2018

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest regarding the publication of this paper.

: This article does not contain any studies with human participants or animals performed by any of the authors.