Publication: Research on the Vulnerabilities of Urban Video Surveillance Systems
Дата
2020
Авторы
Journal Title
Journal ISSN
Volume Title
Издатель
Аннотация
© 2020 IEEE.This article discusses the problem of detecting dark spots in the urban video surveillance system. To identify shortcomings in the work of urban surveillance cameras, machine learning was used, which allowed to solve the problem of visualizing areas that are not in the camera's field of vision. Taking into account the fact that a wide range of video surveillance devices participated in the study: yard, porch video surveillance cameras and surveillance cameras in crowded places, a system was developed consisting of a database and an algorithm that allows you to request information only about the nearest video surveillance devices. This approach to the implementation of the main goal of the study contributed to the creation of an intuitive, user-friendly program that will help identify and eliminate dark spots in the urban video surveillance system.
Описание
Ключевые слова
Цитирование
Alfara, A. U. A. Research on the Vulnerabilities of Urban Video Surveillance Systems / Alfara, A.U.A., Ivanov, N.S., Ivanenko, V.G. // Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020. - 2020. - P. 222-224. - 10.1109/EIConRus49466.2020.9039519