Mohottala, S., Abeygunawardana, S., Samarasinghe, P. et al. (2 more authors) (2022) 2D pose estimation based child action recognition. In: TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON). TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), 01-04 Nov 2022, Hong Kong, Hong Kong. Institute of Electrical and Electronics Engineers (IEEE) , pp. 1-7. ISBN 9781665450959
Abstract
We present a graph convolutional network with 2D pose estimation for the first time on child action recognition task achieving on par results with LRCN on a benchmark dataset containing unconstrained environment based videos.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | child action recognition; graph convolutional networks; long-term recurrent convolutional network; transfer learning |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 May 2023 10:03 |
Last Modified: | 20 Dec 2023 01:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tencon55691.2022.9977799 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197814 |