EDGE-BASED VIDEO RECOGNITION: ADVANCING DEEP LEARNING FOR EFFICIENT VISUAL
The escalating prevalence of video surveillance underscores the critical necessity for precise and efficient Human Action Recognition (HAR) systems. In this study, we introduce an innovative deep learning architecture tailored for real-time HAR at the edge. Our approach involves monitoring video str...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kragujevac
2025-03-01
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| Series: | Proceedings on Engineering Sciences |
| Subjects: | |
| Online Access: | https://pesjournal.net/journal/v7-n1/62.pdf |
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