RT Conference Proceedings
T1 Detection of People Boarding/Alighting a Metropolitan Train using Computer Vision
A1 Belloc, M.
A1 Velastin Carroza, Sergio Alejandro
A1 Fernández, R.
A1 Jara, M.
AB Pedestrian detection and tracking have seen a major progress in the last two decades. Nevertheless there are always appli-cation areas which either require further improvement or that have not been sufficiently explored or where production level performance (accuracy and computing efficiency) has not been demonstrated. One such area is that of pedestrian monitoring and counting in metropolitan railways platforms. In this paper we first present a new partly annotated dataset of a full-size laboratory observation of people boarding and alighting from a public transport vehicle. We then present baseline results for automatic detection of such passengers, based on computer vi-sion, that could open the way to compute variables of interest to traffic engineers and vehicle designers such as counts and flows and how they are related to vehicle and platform layout.
PB Institution Of Engineering And Technology (IET)
SN 978-1-78561-887-1
YR 2018
FD 2018-05
LK https://hdl.handle.net/10016/28969
UL https://hdl.handle.net/10016/28969
LA eng
NO This paper has been presented at : 9th International Conference on Pattern Recognition Systems (ICPRS 2018)
NO The authors gratefully acknowledge the Chilean National Science and Technology Council (Conicyt) for its funding under grants CONICYT-Fondecyt Regular nos. 1140209 (“OBSERVE”) , 1120219, and 1080381 . S.A. Velastin is grateful to funding received from the Universidad Carlos III de Madrid, the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 600371, el Ministerio de Economía y Competitividad (COFUND2013-51509) and Banco Santander. Finally, we are grateful to NVIDIA for its donation as part of its academic GPU Grant Program.
DS e-Archivo
RD 18 jul. 2024