Subjective analysis of social distance monitoring using YOLO v3 architecture and
crowd tracking system

oksuz, ilkay; Özbek, Muhammed Murat; SYED, Mustafa

doi:10.3906/elk-2008-66

Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system

Muhammed Murat ÖZBEK, (Uçak Mühendisliği Bölümü, Havacılık ve Uzay Bilimleri Fakültesi, İstanbul Teknik Üniversitesi, İstanbul, Türkiye)

Mustafa SYED, (Girilmemişş)

İlkay ÖKSÜZ (Bilgisayar Mühendisliği Bölümü, Bilgisayar ve Bilişim Mühendisliği Fakültesi, İstanbul Teknik Üniversitesi, İstanbul, Türkiye)

Turkish Journal of Electrical Engineering and Computer Sciences

6 0

Yıl: 2021 Cilt: 29 Sayı: 2 Sayfa Aralığı: 1157 - 1170 Metin Dili: İngilizce DOI: 10.3906/elk-2008-66 İndeks Tarihi: 07-06-2022

Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system

Öz:

The lethal infection, World Health Organization (WHO) reported coronavirus (COVID-19) as a pandemic. Lack of proper vaccine, low levels of immunity against COVID-19 has led to vulnerability of the human beings. Due to lack of eﬀicient vaccine treatment, the only options left to fight against this pandemic are lockdown and social distance. This work offers an autonomous monitoring system on social distancing using deep learning techniques. The proposed architecture tracks the humans on roads and calculates their distance between each other. This surveillance detects the furore violation of social distance utilizing CCTV cameras. The proposed framework uses YOLO v3 object-detection model built on COCO dataset and used to classify human class among 79 classes. The bounding box’s dimensions and centroid coordinates are computed in the two-dimensional feature space from the pairwise vectorized L2 norm and a threshold is fixed for computing the distance maintained between each other. We illustrate the superior performance of our framework checked against other state of the art methods regarding inference speed, mean average precision and loss defined from the localization.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Özbek M, SYED M, oksuz i (2021). Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. , 1157 - 1170. 10.3906/elk-2008-66
Chicago	Özbek Muhammed Murat,SYED Mustafa,oksuz ilkay Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. (2021): 1157 - 1170. 10.3906/elk-2008-66
MLA	Özbek Muhammed Murat,SYED Mustafa,oksuz ilkay Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. , 2021, ss.1157 - 1170. 10.3906/elk-2008-66
AMA	Özbek M,SYED M,oksuz i Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. . 2021; 1157 - 1170. 10.3906/elk-2008-66
Vancouver	Özbek M,SYED M,oksuz i Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. . 2021; 1157 - 1170. 10.3906/elk-2008-66
IEEE	Özbek M,SYED M,oksuz i "Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system." , ss.1157 - 1170, 2021. 10.3906/elk-2008-66
ISNAD	Özbek, Muhammed Murat vd. "Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system". (2021), 1157-1170. https://doi.org/10.3906/elk-2008-66

APA	Özbek M, SYED M, oksuz i (2021). Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. Turkish Journal of Electrical Engineering and Computer Sciences, 29(2), 1157 - 1170. 10.3906/elk-2008-66
Chicago	Özbek Muhammed Murat,SYED Mustafa,oksuz ilkay Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. Turkish Journal of Electrical Engineering and Computer Sciences 29, no.2 (2021): 1157 - 1170. 10.3906/elk-2008-66
MLA	Özbek Muhammed Murat,SYED Mustafa,oksuz ilkay Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. Turkish Journal of Electrical Engineering and Computer Sciences, vol.29, no.2, 2021, ss.1157 - 1170. 10.3906/elk-2008-66
AMA	Özbek M,SYED M,oksuz i Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(2): 1157 - 1170. 10.3906/elk-2008-66
Vancouver	Özbek M,SYED M,oksuz i Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(2): 1157 - 1170. 10.3906/elk-2008-66
IEEE	Özbek M,SYED M,oksuz i "Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system." Turkish Journal of Electrical Engineering and Computer Sciences, 29, ss.1157 - 1170, 2021. 10.3906/elk-2008-66
ISNAD	Özbek, Muhammed Murat vd. "Subjective analysis of social distance monitoring using YOLO v3 architecture and crowd tracking system". Turkish Journal of Electrical Engineering and Computer Sciences 29/2 (2021), 1157-1170. https://doi.org/10.3906/elk-2008-66