Open AccessDevelopment of an automated systemfor determining transport flow on video using a neural network
Author(s) -
Evgeniy A. Godovnikov,
Olga A. Petuhova,
Tatiana Pronkina,
Ruslan T. Usmanov,
Anatoliy V. Shitselov
Publication year - 2021
Publication title -
vestnik ûgorskogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2078-9114
pISSN - 1816-9228
DOI - 10.17816/byusu20210447-54
Subject(s) - intersection (aeronautics) , artificial neural network , computer science , traffic flow (computer networking) , trajectory , artificial intelligence , flow (mathematics) , machine learning , real time computing , engineering , transport engineering , computer network , mathematics , physics , astronomy , geometry
This article discusses the problem of determining traffic flows at an intersection by identifying vehicles using neural networks. A model of a neural network used to detect vehicles in the image is described. The paper describes an algorithm for identifying cars at an intersection. The article also describes an algorithm for obtaining the trajectory of the vehicle.