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...

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Autores principales:	Joelma C.C. e Silva, Flavio S.C. da Silva
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Contextual analysis Pedestrian behavior Transport terminal monitoring Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/571496373a4c445382a94b1dc44ebe91
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id	oai:doaj.org-article:571496373a4c445382a94b1dc44ebe91
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spelling	oai:doaj.org-article:571496373a4c445382a94b1dc44ebe912021-11-30T04:16:35ZContextual analysis of pedestrian mobility in transport terminals2405-959510.1016/j.icte.2021.02.007https://doaj.org/article/571496373a4c445382a94b1dc44ebe912021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S240595952100031Xhttps://doaj.org/toc/2405-9595Data 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.Joelma C.C. e SilvaFlavio S.C. da SilvaElsevierarticleContextual analysisPedestrian behaviorTransport terminal monitoringInformation technologyT58.5-58.64ENICT Express, Vol 7, Iss 4, Pp 449-452 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Contextual analysis Pedestrian behavior Transport terminal monitoring Information technology T58.5-58.64
spellingShingle	Contextual analysis Pedestrian behavior Transport terminal monitoring Information technology T58.5-58.64 Joelma C.C. e Silva Flavio S.C. da Silva Contextual analysis of pedestrian mobility in transport terminals
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.
format	article
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
title	Contextual analysis of pedestrian mobility in transport terminals
title_short	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_sort	contextual analysis of pedestrian mobility in transport terminals
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/571496373a4c445382a94b1dc44ebe91
work_keys_str_mv	AT joelmaccesilva contextualanalysisofpedestrianmobilityintransportterminals AT flavioscdasilva contextualanalysisofpedestrianmobilityintransportterminals
_version_	1718406802528272384

Contextual analysis of pedestrian mobility in transport terminals

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