People detection and social distancing classification in smart cities for COVID-19 by using thermal images and deep learning algorithms. (arXiv:2209.04704v1 [cs.CV])

COVID-19 is a disease caused by severe respiratory syndrome coronavirus. It
was identified in December 2019 in Wuhan, China. It has resulted in an ongoing
pandemic that caused infected cases including some deaths. Coronavirus is
primarily spread between people during close contact. Motivating to this
notion, this research proposes an artificial intelligence system for social
distancing classification of persons by using thermal images. By exploiting
YOLOv2 (you look at once), a deep learning detection technique is developed for
detecting and …

algorithms arxiv cities classification covid covid-19 deep learning deep learning algorithms detection images people smart smart cities social