Reaserch and implementation of social distancing monitoring technology based on SSD

被引：9

作者：

Qin, Jingchen ^{[1
]}

Xu, Ning ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China

来源：

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY | 2021年 / 183卷

关键词：

SSD; object detection; social distancing monitoring;

D O I：

10.1016/j.procs.2021.02.127

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the fight against the Covid-19, social distancing has proven to be a very effective measure to mitigate the spread of the disease. As resumption of work, production and classes accelerates, it is necessary to limit people's social distance to reduce the rate of the virus spread. To solve this problem, a method for monitoring social distancing based on SSD object detection technology is proposed in this study. This method utilizes SSD300 model to detect people in a video or picture, and labels a Red Line as warning on the people whose distances are less than the default one, implementing real-time social distancing monitoring, and the mAP reaches 88.44%. (C) 2021 The Authors. Published by Elsevier B.V.

引用

页码：768 / 775

页数：8

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