MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation

MH-MetroNet—A Multi-Head CNN for Passenger-Crowd Attendance Estimation

Knowing an accurate passengers attendance estimation on each metro car contributes to the safely coordination and sorting the crowd-passenger in each metro station. In this work we propose a multi-head Convolutional Neural Network (CNN) architecture trained to infer an estimation of passenger attend...

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Bibliographic Details
Main Authors: Pier Luigi Mazzeo, Riccardo Contino, Paolo Spagnolo, Cosimo Distante, Ettore Stella, Massimiliano Nitti, Vito Renò
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Journal of Imaging
Subjects:
crowd counting
convolutional neural network
multi-head
smart cities
artificial intelligence
Online Access:https://www.mdpi.com/2313-433X/6/7/62

Internet

https://www.mdpi.com/2313-433X/6/7/62

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