Efficient interaction recognition in video for edge devices: A lightweight approach

Efficient and accurate recognition of human interactions is crucial for numerous service applications, including security surveillance and public safety. In this paper, we propose a lightweight methodology for detecting human activity and interactions in video streams, specifically tailored for edge computing environments.