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A Supervised Approach to Monitoring Social Distancing From CCTV
Md. Moshiur Rahman,Salman Mohammad Sultan,Jinsul Kim,Imran Bin Azad 한국디지털콘텐츠학회 2021 The Journal of Contents Computing Vol.3 No.2
This paper employs a deep learning algorithm and statistical technique to identify correct social distancing for COVID-19. As our community slowly recovers from the COVID-19, new concerns about the workplace and school safety have arisen. WHO (World Health Organization) encourages individuals to keep at least 6 feet away from others and use face masks. By analyzing a video stream (CCTV Footage), we’ve built a detecting tool that can inform individuals when they’re not keeping a safe distance from one another.