期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：8
页码：244-250
DOI：10.35629/5252-030894108
语种：English
出版社：IJAEM JOURNAL
摘要：imum distance between yourself and other people around us. T is also called physical distancing. For maintaining social distance, one must keep at least seven feets from others . Limiting such close contact is very important during the Covid-19 pandemic[1]. As there exists a shortage of vaccines in many places around the globe, the only solution to prevent the fast spread is to maintain a safe distance and avoid close contact. This work focuses on a complex computer vision technique[2] that can measure the distance between two persons and capture the current location in case any close face-to-face contact is identified. This work uses Open image Dataset[3] and OKATAMA dataset [4] for detection. The work proposes a euclidean distance[5] calculation to measure the distance between objects. The observed distance can be used to check whether it is above a threshold value, which is the maximum allowed closeness factor and if it violates the given set of rules, certain alerts can be generated to the authorities.
关键词：Physical distancing;Computer Vision; Open mage;OKATAMA Dataset;Euclidean Distance
