Graph-based topic models for trajectory clustering in crowd videos

Al Ghamdi, M. and Gotoh, Y. orcid.org/0000-0003-1668-0867 (2020) Graph-based topic models for trajectory clustering in crowd videos. Machine Vision and Applications, 31. 39. ISSN 0932-8092

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Springer Nature. This is an author-produced version of a paper subsequently published in Machine Vision and Applications. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: clustering; crowd videos; graph; manifold; embedding; topic modeling
Dates:
  • Accepted: 28 May 2020
  • Published (online): 12 June 2020
  • Published: 12 June 2020
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: 15 Jun 2020 07:38
Last Modified: 15 Jun 2020 10:03
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: https://doi.org/10.1007/s00138-020-01092-3

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