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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2021-12-01
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Series: | ICT Express |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S240595952100031X |
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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 |