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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49250
Title: Tracking the flow of motor vehicles on the roads with YOLOv5 and deepsort algorithms
Authors: Kuchkarov, T. A.
Hamzayev, J. F.
Allamuratova, Z.J.
Keywords: материалы конференций;YOLOv5;DeepSORT;algorithm;machine learning
Issue Date: 2022
Publisher: БГУИР
Citation: Kuchkarov, 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.
Abstract: This 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.
URI: https://libeldoc.bsuir.by/handle/123456789/49250
Appears in Collections:ИТС 2022

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