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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49250
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dc.contributor.authorKuchkarov, T. A.-
dc.contributor.authorHamzayev, J. F.-
dc.contributor.authorAllamuratova, Z.J.-
dc.coverage.spatialМинск-
dc.date.accessioned2022-12-01T12:55:28Z-
dc.date.available2022-12-01T12:55:28Z-
dc.date.issued2022-
dc.identifier.citationKuchkarov, T. A. Tracking the flow of motor vehicles on the roads with YOLOv5 and deepsort algorithms / T. A. Kuchkarov, J. F. Hamzayev, Z.J. Allamuratova // Информационные технологии и системы 2022 (ИТС 2022) = Information Technologies and Systems 2022 (ITS 2022) : материалы Международной научной конференции, Минск, 23 ноября 2022 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск : БГУИР, 2022. – С. 61–62.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/49250-
dc.description.abstractThis article describes one of the most important steps in smart transportation systems, which is to count the flow of moving vehicles, in particular, using the YOLOv5 and Deep SORT algorithms to perform this process.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectYOLOv5ru_RU
dc.subjectDeepSORTru_RU
dc.subjectalgorithmru_RU
dc.subjectmachine learningru_RU
dc.titleTracking the flow of motor vehicles on the roads with YOLOv5 and deepsort algorithmsru_RU
dc.typeArticleru_RU
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