Graph-based correlated topic model for trajectory clustering in crowded videos

Al Ghamdi, M. and Gotoh, Y. orcid.org/0000-0003-1668-0867 (2018) Graph-based correlated topic model for trajectory clustering in crowded videos. In: 2018 IEEE Winter Conference on Applications of Computer Vision. 2018 IEEE Winter Conference on Applications of Computer Vision, 12-15 Mar 2018, Lake Tahoe, NV/CA. IEEE , pp. 1029-1037. ISBN 978-1-5386-4886-5

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Copyright, Publisher and Additional Information: © 2018 IEEE. This is an author produced version of a paper subsequently published in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 22 January 2018
  • Published (online): 7 May 2018
  • Published: 7 May 2018
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: 11 May 2018 13:46
Last Modified: 21 May 2018 08:37
Published Version: https://doi.org/10.1109/WACV.2018.00118
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/WACV.2018.00118

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