Depth-based human action recognition using histogram of templates
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16989-0.pdf
Reference98 articles.
1. Elharrouss O, Almaadeed N, Al-Maadeed S et al (2021) A combined multiple action recognition and summarization for surveillance video sequences. Appl Intell 51:690–712
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3. Yao L, Sheng QZ, Benatallah B et al (2018) WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes. Computing 100:369–385
4. Gao Y, Xiang X, Xiong N et al (2018) Human Action Monitoring for Healthcare Based on Deep Learning. IEEE Access 6:52277–52285
5. Mukherjee D, Mondal R, Singh PK et al (2020) EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications. Multimedia Tools Appl 79:31663–31690
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