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Research on the Vulnerabilities of Urban Video Surveillance Systems

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dc.contributor.authorAlfara, A. U. A.
dc.contributor.authorIvanov, N. S.
dc.contributor.authorIvanenko, V. G.
dc.contributor.authorИваненко, Виталий Григорьевич
dc.date.accessioned2024-11-25T17:57:56Z
dc.date.available2024-11-25T17:57:56Z
dc.date.issued2020
dc.description.abstract© 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.
dc.format.extentС. 222-224
dc.identifier.citationAlfara, 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
dc.identifier.doi10.1109/EIConRus49466.2020.9039519
dc.identifier.urihttps://www.doi.org/10.1109/EIConRus49466.2020.9039519
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85082998621&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20554
dc.relation.ispartofProceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020
dc.titleResearch on the Vulnerabilities of Urban Video Surveillance Systems
dc.typeConference Paper
dspace.entity.typePublication
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