Learning Hierarchical Models of Complex Daily Activities from Annotated Videos

Tayyub, J, Hawasly, M, Hogg, DC orcid.org/0000-0002-6125-9564 et al. (1 more author) (2018) Learning Hierarchical Models of Complex Daily Activities from Annotated Videos. In: Applications of Computer Vision (WACV), 2018 IEEE Winter Conference on. 2018 IEEE Winter Conference on Applications of Computer Vision, 12-15 Mar 2018, Lake Tahoe, Nevada, USA. IEEE , pp. 1633-1641. ISBN 978-1-5386-4886-5

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Copyright, Publisher and Additional Information: © 2018, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Hidden Markov models; Videos; Semantics; Grammar; Activity recognition; Training; Stochastic processes
Dates:
  • Published: 7 May 2018
  • Accepted: 25 January 2018
  • Published (online): 7 May 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EU - European UnionFP7-ICT-600623
Depositing User: Symplectic Publications
Date Deposited: 09 Mar 2018 12:51
Last Modified: 09 May 2018 13:58
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/WACV.2018.00182

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