Graph-based topic models for trajectory clustering in crowd videos

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



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
  • 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:


Accepted Version

Embargoed until: 12 June 2021

Filename: gtm.pdf

Request a copy

file not available

Share / Export