A Depth Camera-based Warning System Design for Social distancing Detection
A Depth Camera-based Warning System Design for Social distancing Detection
复制标题
基于深度摄像头的社交距离检测预警系统设计
DOI：
10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00150
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
K. Sato
中科院分区：
文献类型：
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作者：
Z. Wang;B. Wu;K. Sato
如今，COVID-19正在全球肆虐。由于其传染性极强，人们不得不采取多种措施并改变日常生活方式来面对它。保持社交距离对于预防COVID-19尤为重要，特别是对于公共空间的管理者来说，敦促人们保持社交距离是有意义的。但是如果由管理者直接进行社会距离管理，将会耗费大量的人力物力，因此有必要设计一个能够自动检测区域内社会距离状况的系统。对于社交距离检测的研究，大多数相关工作都是使用基于图像的像素分析技术来获取距离数据，但是这种类型的技术由于摄像机角度的差异会产生很大的误差。因此，本文提出了一种基于高精度深度摄像头和Android智能眼镜的社交距离检测与预警系统的设计方案。通过使用深度摄像头，我们可以更准确地获取距离数据，以防止由于信息获取不足而导致的误判，此外，使用智能眼镜作为信息终端，以便更快速准确地向区域管理员提供相关的社交距离预警信息。该系统不仅可以直接为区域管理者提供帮助，而且可以为公共场所社会距离风险研究提供依据。
Nowadays, COVID-19 is raging around the world. Because of its highly contagious, people have to take many measures and change their daily lifestyle to face it. Keeping social distancing is particularly important for the prevention of COVID-19, especially for the administrator of public spaces, it makes sense to urge people to maintain social distancing. However, if the administrator directly carries out social distancing management, it will consume a lot of manpower and material resources, it is necessary to design a system that can automatically detect social distancing status in the areas. For the studies of social distancing detection, most of the related works use pixel analysis techniques based on images to obtain distance data, but this type of technique may produce large errors due to the difference camera angles. Therefore, in this paper, we plan to present a design of the social distancing detection and warning system by using the devices of high-precision depth camera and Android-based smart glasses. By using the depth camera, we can obtain the distance data more accurately to prevent misjudgment due to insufficient information acquisition, in addition, the using of smart glasses as the information terminal in order to provide relevant social distancing warning information to the area administrators more quickly and accurately. This system will not only benefit area administrators directly, but will also provide the basis for research in the area of social distancing risk in public places.