Convolutional neural network-based crowd detection for COVID-19 social distancing protocol from unmanned aerial vehicles onboard camera-Reference-Cited by-同舟云学术

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Convolutional neural network-based crowd detection for COVID-19 social distancing protocol from unmanned aerial vehicles onboard camera

Published:2023-10-09 Issue:04 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Wastupranata Leonard Matheus¹,Munir Rinaldi¹

Affiliation:

1. Institut Teknologi Bandung, School of Electrical Engineering and Informatics, Bandung, Indonesia

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference55 articles.

1. COVID-19 and social distancing

2. Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study

3. Does social distancing matter?;Greenstone,2020

4. Forecasting COVID-19 impact on hospital bed-days, ICU-days, ventilator-days and deaths by US state in the next 4 months,2020

5. The Impact of Social Distancing on the Transmission of Influenza Virus, South Korea, 2020

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