Confidence-guided centroids for unsupervised person re-identification

Miao, Y., Deng, J., Ding, G. et al. (1 more author) (2024) Confidence-guided centroids for unsupervised person re-identification. IEEE Transactions on Information Forensics and Security, 19. pp. 6471-6483. ISSN 1556-6013

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Miao, Y.
  • Deng, J.
  • Ding, G.
  • Han, J.
Copyright, Publisher and Additional Information:

© 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Information Forensics and Security is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Person Re-identification; Unsupervised Learning; Centroid; Visual Surveillance
Dates:
  • Published: 13 June 2024
  • Published (online): 13 June 2024
  • Accepted: 21 May 2024
  • Submitted: 29 July 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jun 2024 10:59
Last Modified: 20 Nov 2024 15:52
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/TIFS.2024.3414310
Open Archives Initiative ID (OAI ID):

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