Contextual analysis of pedestrian mobility in transport terminals

Data acquisition using security cameras for pedestrian tracking and counting is inherently inaccurate due to limited video quality and the dynamics of pedestrian mobility. In this article we explore how specific patterns of pedestrian behavior in transport terminals can improve accuracy in tracking...

Full description

Bibliographic Details
Main Authors: Joelma C.C. e Silva, Flavio S.C. da Silva
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S240595952100031X
_version_ 1819126833684152320
author Joelma C.C. e Silva
Flavio S.C. da Silva
author_facet Joelma C.C. e Silva
Flavio S.C. da Silva
author_sort Joelma C.C. e Silva
collection DOAJ
description Data acquisition using security cameras for pedestrian tracking and counting is inherently inaccurate due to limited video quality and the dynamics of pedestrian mobility. In this article we explore how specific patterns of pedestrian behavior in transport terminals can improve accuracy in tracking and counting. We show the effectiveness of our proposed techniques using data from the New York Grand Central Station. The proposed tool improves the accuracy of pedestrian labeling based on information about the dynamics of pedestrian mobility in the specific context of transport terminals.
first_indexed 2024-12-22T08:02:19Z
format Article
id doaj.art-571496373a4c445382a94b1dc44ebe91
institution Directory Open Access Journal
issn 2405-9595
language English
last_indexed 2024-12-22T08:02:19Z
publishDate 2021-12-01
publisher Elsevier
record_format Article
series ICT Express
spelling doaj.art-571496373a4c445382a94b1dc44ebe912022-12-21T18:33:14ZengElsevierICT Express2405-95952021-12-0174449452Contextual analysis of pedestrian mobility in transport terminalsJoelma C.C. e Silva0Flavio S.C. da Silva1Corresponding author.; Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, BrazilDepartment of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, BrazilData acquisition using security cameras for pedestrian tracking and counting is inherently inaccurate due to limited video quality and the dynamics of pedestrian mobility. In this article we explore how specific patterns of pedestrian behavior in transport terminals can improve accuracy in tracking and counting. We show the effectiveness of our proposed techniques using data from the New York Grand Central Station. The proposed tool improves the accuracy of pedestrian labeling based on information about the dynamics of pedestrian mobility in the specific context of transport terminals.http://www.sciencedirect.com/science/article/pii/S240595952100031XContextual analysisPedestrian behaviorTransport terminal monitoring
spellingShingle Joelma C.C. e Silva
Flavio S.C. da Silva
Contextual analysis of pedestrian mobility in transport terminals
ICT Express
Contextual analysis
Pedestrian behavior
Transport terminal monitoring
title Contextual analysis of pedestrian mobility in transport terminals
title_full Contextual analysis of pedestrian mobility in transport terminals
title_fullStr Contextual analysis of pedestrian mobility in transport terminals
title_full_unstemmed Contextual analysis of pedestrian mobility in transport terminals
title_short Contextual analysis of pedestrian mobility in transport terminals
title_sort contextual analysis of pedestrian mobility in transport terminals
topic Contextual analysis
Pedestrian behavior
Transport terminal monitoring
url http://www.sciencedirect.com/science/article/pii/S240595952100031X
work_keys_str_mv AT joelmaccesilva contextualanalysisofpedestrianmobilityintransportterminals
AT flavioscdasilva contextualanalysisofpedestrianmobilityintransportterminals