论文标题

使用全球网络摄像机观察对COVID-19大流行的反应

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras

论文作者

Ghodgaonkar, Isha, Goel, Abhinav, Bordwell, Fischer, Tung, Caleb, Aghajanzadeh, Sara, Curran, Noah, Chen, Ryan, Yu, Kaiwen, Mahapatra, Sneha, Banna, Vishnu, Kao, Gore, Lee, Kate, Hu, Xiao, Eliopolous, Nick, Chinnakotla, Akhil, Rijhwani, Damini, Kim, Ashley, Chakraborty, Aditya, Ward, Mark Daniel, Lu, Yung-Hsiang, Thiruvathukal, George K.

论文摘要

Covid-19导致全球大流行,导致“锁定”政策和社会疏远。大流行已深刻地改变了世界。观察这些历史事件的传统方法很困难,因为将记者派往许多受感染者的地区可能会使记者的生命处于危险之中。需要新技术来安全观察对这些政策的响应。本文报告使用全球部署的数千台网络摄像机,目的是目睹有关政策的活动。网络摄像机可以在不努力的情况下不断提供实时视觉数据(图像和视频)。因此,可以利用网络摄像机来观察活动,而不会冒着记者生命的危险。本文介绍了一个使用网络摄像机观察到19日大流行期间对政府政策的反应的项目(2020年3月至4月)。该项目发现了在110个国家 /地区部署的30,000多个网络摄像机。创建了一组计算机工具来在大流行期间连续从网络摄像机收集视觉数据。本文介绍了在Internet上发现网络摄像机的方法,收集和管理数据的方法以及数据分析的初步结果。该项目可能是观察2020年秋季可能的“第二波”的基础。该数据可用于社会学家,公共卫生专家和气象学家的大规模分析。

COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters' lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments' policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible "second wave" in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists.

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