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Method to estimate pedestrian traffic using convolutional neural network
Author(s) -
Georgii Kataev,
Vitalii Varkentin,
Kseniia Nikolskaia
Publication year - 2020
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2020.10.029
Subject(s) - pedestrian , convolutional neural network , computer science , set (abstract data type) , pedestrian detection , data set , artificial neural network , artificial intelligence , data mining , object (grammar) , computer vision , transport engineering , machine learning , engineering , programming language

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