Your browser doesn't support javascript.
People Monitoring and Social Distancing Using Computer Vision
9th International Conference on Recent Trends in Computing, ICRTC 2021 ; 341:381-389, 2022.
Article in English | Scopus | ID: covidwho-1680658
ABSTRACT
The goal of this studies is to help minimize COVID-19 cases. Social distancing practices are considered to forestall unwellness transmission by reducing the contact rate of infected and uninfected people. One of the easiest ways for people to lower their risk of infection during an epidemic is for them to reduce their rate of contact with infectious individuals (Timothy in, PLoS Comput Biol 6(5)e1000793, (2010) [1]). As the pandemic situation increases day by day, so there is a need to understand the situation and take possible actions against them. Social distancing comes under the major precaution against pandemic. Apart from these, there is a need to monitor people whether they take the situation seriously about social distancing or not. So, the main objective of this research is to provide a possible solution of how to monitor people using CCTV/drone. This research provides an idea about an application that can be used to monitor people for prevention against social distancing. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 9th International Conference on Recent Trends in Computing, ICRTC 2021 Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 9th International Conference on Recent Trends in Computing, ICRTC 2021 Year: 2022 Document Type: Article