Complex Human Action Recognition Using a Hierarchical Feature Reduction and Deep Learning-Based Method

Serpush, F and Rezaei, M orcid.org/0000-0003-3892-421X (2021) Complex Human Action Recognition Using a Hierarchical Feature Reduction and Deep Learning-Based Method. SN Computer Science, 2 (2). 94. ISSN 2661-8907

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Copyright, Publisher and Additional Information: © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 22 January 2021
  • Published (online): 13 February 2021
  • Published: April 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Feb 2021 13:59
Last Modified: 24 Feb 2021 13:59
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/s42979-021-00484-0

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