COVID-19 SOP违规检测常用ICT技术综述

Talha Ikram, A. Saeed, NoorUl Ayn, M. Tahir, R. Mumtaz
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引用次数: 4

摘要

COVID-19是一种对全世界人民的健康和日常生活产生不利影响的疾病,因此必须采取措施控制此类疾病的传播。政府和保健当局执行标准作业程序(SOPs),如戴口罩和保持社交距离。这些SOP减轻了COVID-19的传播,但人们普遍不遵守这些SOP,这令人担忧。这项调查工作探索了可用于检测SOP违规的经典技术。这些主要是基于计算机视觉的方法,用于目标检测和距离估计。我们还将探索用于对象检测的基于深度学习的技术,以检测SOP违规。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of the prevalent ICT techniques used for COVID-19 SOP violation detection
COVID-19 is a disease that has adversely impacted the health and daily lives of people worldwide, therefore there must be measures in place to control the spread of such diseases. Standard Operating Procedures (SOPs) such as wearing masks and maintaining social distancing are enforced by the Government and healthcare authorities. These SOP's mitigate the spread of COVID-19, but it has been observed with concern that people do not generally follow them. This survey work explores classical techniques that can be used to detect SOP violations. These are primarily computer vision based methods used in object detection and distance estimation. We will also explore deep learning based techniques used for object detection to detect SOP violations.
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