Towards efficient video-based action recognition: context-aware memory attention network
Abstract Given the prevalence of surveillance cameras in our daily lives, human action recognition from videos holds significant practical applications. A persistent challenge in this field is to develop more efficient models capable of real-time recognition with high accuracy for widespread impleme...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-11-01
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Series: | SN Applied Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1007/s42452-023-05568-5 |