A Novel Approach for a Vision-Based Physical Distancing Monitoring System for COVID-19 Using Deep Learning Techniques

Author:

Kranthi Kumar K.,Sri Vathsav K. V. N.

Publisher

Springer Singapore

Reference23 articles.

1. World Health Organization (WHO) Official Webite. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. Last accessed on 01 July 2021

2. World of Meters Homepage. https://www.worldometers.info/coronavirus/. Last accessed on 02 July 2021

3. Courtemanche C, Garuccio J, Le A, Pinkston J, Yelowitz A (2020) Strong social distancing measures in the united states reduced the covid-19 growth rate: Study evaluates the impact of social distancing measures on the growth rate of confirmed covid-19 cases across the united states. Health Aff 10–1377

4. What the data say about asymptomatic COVID infections (nature.com). https://www.nature.com/articles/d41586-020-03141-3. Last accessed on 02 July 2021

5. Nguyen CT, Saputra YM, Van Huynh N, Nguyen N-T, Khoa TV, Tuan BM, Nguyen DN, Hoang DT, Vu TX,Dutkiewicz E et al (2020) Enabling and emerging technologies for social distancing: a comprehensive survey. arXiv preprint arXiv:2005.02816

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