Activity Recognition from Videos Using Semantic Motion Patterns
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8865-3_33
Reference15 articles.
1. Li X, Sun G, Li Y (2021) Human motion representation and motion pattern recognition based on complex fuzzy theory. Complexity, ArticleID 9923748, 12 pages. https://doi.org/10.1155/2021/9923748
2. Nguyen B, Coelho Y, Bastos T, Krishnan S (2021) Trends in human activity recognition with focus on machine learning and power requirements. Mach Learn Appl 5:100072, ISSN 2666-8270. https://doi.org/10.1016/j.mlwa.2021.100072
3. Ali A, Samara W, Alhaddad D, Ware A, Saraereh OA (2022) Human activity and motion pattern recognition within indoor environment using convolutional neural networks clustering and Naive Bayes classification algorithms. Sensors 22:1016. https://doi.org/10.3390/s22031016
4. Ryoo MS, Agarwal JK (2011) Human activity analysis: a survey. ACM Comput Surv 43(3):16:1–16:43
5. Vahdat A, Gao B, Ranjbar M, Mori G (2011) A discriminative key pose sequence model for recognizing human interactions. In: IEEE international conference on computer vision
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