This research uses transfer learning to improve activity recognition in surveillance systems. The model accurately identifies human movements from video streams in real time. It enhances monitoring efficiency for safety and smart city applications. The approach delivers higher accuracy with reduced training effort.
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National Academy Science Letters (SCIE, Q2)
2025
https://link.springer.com/article/10.1007/s40009-025-01626-1