Year: 2022
Type: conference-paper
Abstract: Ever since worldwide COVID-19 epidemic, social distancing has been prioritised and advised to practice everywhere on a daily basis.It has been and will continue to be one of the most efficient and effective measures to fight the pandemic and saving lives.In Malaysia, social distancing is a proactive action to minimize the spread of COVID-19 among human beings.No matter we are staying indoor or outdoor, a tolerable distance among each other will save ourselves and others.However, there are a lot of constraints to govern the violation of social distancing manually.In this research, an automatic detection of the violation of social distancing is proposed to create a healthier environment.The proposed research could be conducted in public places or confined places.Particularly, a security camera combined with another camera is used to monitor the social distancing in a confined area.Social distancing violation will be detected using Euclidean distance analysis.
Institution: Multimedia University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: Multimedia University
OpenAlex ID: W4320510285