Seq2seq model for human action recognition based on skeleton and two-layer bidirectional LSTM
Author:
Affiliation:
1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China
2. School of Computer and Control Engineering, Yantai University, Yantai, China
3. Deepsim Intelligence Technology Inc., Abbotsford, BC, Canada
Abstract
Publisher
IOS Press
Subject
Software
Reference50 articles.
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3. Review of human behavior recognition algorithms based on vision;Chen;Comput. Appl. Res.,2019
4. P. Dasari, L. Zhang, Y. Yu, H. Huang and R. Gao, Human action recognition using hybrid deep evolving neural networks, in: 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1–8.
5. R. Dasari and C.W. Chen, Mpeg cdvs feature trajectories for action recognition in videos, in: Proceedings of IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), IEEE, 2018, pp. 301–304.
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