2020/05/18 by Isha Ghodgaonkar, Abhinav Goel, Ghodgaonkar, Isha +39
Computer Science · Mathematics · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #COVID-19 epidemiological studies #Computers and Society (cs.CY) #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2005.09091
openalex publication_date 2020/05/18 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies\nand social distancing. The pandemic has profoundly changed the world.\nTraditional methods for observing these historical events are difficult because\nsending reporters to areas with many infected people can put the reporters'\nlives in danger. New technologies are needed for safely observing responses to\nthese policies. This paper reports using thousands of network cameras deployed\nworldwide for the purpose of witnessing activities in response to the policies.\nThe network cameras can continuously provide real-time visual data (image and\nvideo) without human efforts. Thus, network cameras can be utilized to observe\nactivities without risking the lives of reporters. This paper describes a\nproject that uses network cameras to observe responses to governments' policies\nduring the COVID-19 pandemic (March to April in 2020). The project discovers\nover 30,000 network cameras deployed in 110 countries. A set of computer tools\nare created to collect visual data from network cameras continuously during the\npandemic. This paper describes the methods to discover network cameras on the\nInternet, the methods to collect and manage data, and preliminary results of\ndata analysis. This project can be the foundation for observing the possible\n"second wave" in fall 2020. The data may be used for post-pandemic analysis by\nsociologists, public health experts, and meteorologists.\n