YOLO Algorithm for Detecting People in Social Distancing System

Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccura...

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Autores principales:	Faisal Dharma Adhinata, Diovianto Putra Rakhmadani, Alon Jala Tirta Segara
Formato:	article
Lenguaje:	ID
Publicado:	Universitas Semarang 2021
Materias:	social distancing, yolov3, euclidean distance Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/37b5b61eb381465a92d19e97aba1ebfc
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id	oai:doaj.org-article:37b5b61eb381465a92d19e97aba1ebfc
record_format	dspace
spelling	oai:doaj.org-article:37b5b61eb381465a92d19e97aba1ebfc2021-11-18T04:10:16ZYOLO Algorithm for Detecting People in Social Distancing System1693-36562460-673110.26623/transformatika.v19i1.3582https://doaj.org/article/37b5b61eb381465a92d19e97aba1ebfc2021-07-01T00:00:00Zhttps://journals.usm.ac.id/index.php/transformatika/article/view/3582https://doaj.org/toc/1693-3656https://doaj.org/toc/2460-6731Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people's objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research.Faisal Dharma AdhinataDiovianto Putra RakhmadaniAlon Jala Tirta SegaraUniversitas Semarangarticlesocial distancing, yolov3, euclidean distanceInformation technologyT58.5-58.64IDTransformatika, Vol 19, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	social distancing, yolov3, euclidean distance Information technology T58.5-58.64
spellingShingle	social distancing, yolov3, euclidean distance Information technology T58.5-58.64 Faisal Dharma Adhinata Diovianto Putra Rakhmadani Alon Jala Tirta Segara YOLO Algorithm for Detecting People in Social Distancing System
description	Social distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people's objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research.
format	article
author	Faisal Dharma Adhinata Diovianto Putra Rakhmadani Alon Jala Tirta Segara
author_facet	Faisal Dharma Adhinata Diovianto Putra Rakhmadani Alon Jala Tirta Segara
author_sort	Faisal Dharma Adhinata
title	YOLO Algorithm for Detecting People in Social Distancing System
title_short	YOLO Algorithm for Detecting People in Social Distancing System
title_full	YOLO Algorithm for Detecting People in Social Distancing System
title_fullStr	YOLO Algorithm for Detecting People in Social Distancing System
title_full_unstemmed	YOLO Algorithm for Detecting People in Social Distancing System
title_sort	yolo algorithm for detecting people in social distancing system
publisher	Universitas Semarang
publishDate	2021
url	https://doaj.org/article/37b5b61eb381465a92d19e97aba1ebfc
work_keys_str_mv	AT faisaldharmaadhinata yoloalgorithmfordetectingpeopleinsocialdistancingsystem AT dioviantoputrarakhmadani yoloalgorithmfordetectingpeopleinsocialdistancingsystem AT alonjalatirtasegara yoloalgorithmfordetectingpeopleinsocialdistancingsystem
_version_	1718425090961440768

YOLO Algorithm for Detecting People in Social Distancing System

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