Human activity recognition algorithm in video sequences based on the fusion of multiple features for realistic and multi-view environment
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/s11042-023-16364-z.pdf
Reference50 articles.
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3. Ahmad M, Lee SW (2008) Human action recognition using shape and CLG-motion flow from multi-view image sequences. Pattern Recogn 41(7):2237–2252
4. Aly S, Sayed A (2019) Human action recognition using bag of global and local ZM features. Multimed Tools Appl 78(17):24923–24953
5. Barron JL, Fleet DJ, Beauchemin SS (1994) Performance of optical flow techniques. Int J Comput Vision 12:43–77
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