Measurement and analysis of visitors’ trajectories in crowded museums∗

Pietro Centorrino; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri

Measurement and analysis of visitors’ trajectories in crowded museums^∗

Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri

Fluids and Flows

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We tackle the issue of measuring and analyzing the visitors’ dynamics in crowded museums. We propose an IoT-based system – supported by artificial intelligence models – to reconstruct the visitors’ trajectories throughout the museum spaces. Thanks to this tool, we are able to gather wide ensembles of visitors’ trajectories, allowing useful insights for the facility management and the preservation of the art pieces. Our contribution comes with one successful use case: the Galleria Borghese in Rome, Italy.

Original language	English
Title of host publication	2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019
Publisher	IMEKO-International Measurement Federation Secretariat
Pages	423-428
Number of pages	6
ISBN (Electronic)	9789299008454
Publication status	Published - 1 Jan 2019
Event	2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019 - Florence, Italy Duration: 4 Dec 2019 → 6 Dec 2019

Conference

Conference	2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019
Country/Territory	Italy
City	Florence
Period	4/12/19 → 6/12/19

Keywords

BLE
Bluetooth
Data acquisition
Floor usage
Museums
Pedestrian behaviour

Access to Document

https://arxiv.org/abs/1912.02744

Cite this

@inproceedings{05b9470ba6434b13b3092764d4208725,

title = "Measurement and analysis of visitors{\textquoteright} trajectories in crowded museums∗",

abstract = "We tackle the issue of measuring and analyzing the visitors{\textquoteright} dynamics in crowded museums. We propose an IoT-based system – supported by artificial intelligence models – to reconstruct the visitors{\textquoteright} trajectories throughout the museum spaces. Thanks to this tool, we are able to gather wide ensembles of visitors{\textquoteright} trajectories, allowing useful insights for the facility management and the preservation of the art pieces. Our contribution comes with one successful use case: the Galleria Borghese in Rome, Italy.",

keywords = "BLE, Bluetooth, Data acquisition, Floor usage, Museums, Pedestrian behaviour",

author = "Pietro Centorrino and Alessandro Corbetta and Emiliano Cristiani and Elia Onofri",

year = "2019",

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booktitle = "2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019",

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Centorrino, P, Corbetta, A, Cristiani, E & Onofri, E 2019, Measurement and analysis of visitors’ trajectories in crowded museums^∗. in 2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019. IMEKO-International Measurement Federation Secretariat, pp. 423-428, 2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019, Florence, Italy, 4/12/19. <https://arxiv.org/abs/1912.02744>

Measurement and analysis of visitors’ trajectories in crowded museums^∗. / Centorrino, Pietro; Corbetta, Alessandro; Cristiani, Emiliano; Onofri, Elia.

2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019. IMEKO-International Measurement Federation Secretariat, 2019. p. 423-428.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Cristiani, Emiliano

AU - Onofri, Elia

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N2 - We tackle the issue of measuring and analyzing the visitors’ dynamics in crowded museums. We propose an IoT-based system – supported by artificial intelligence models – to reconstruct the visitors’ trajectories throughout the museum spaces. Thanks to this tool, we are able to gather wide ensembles of visitors’ trajectories, allowing useful insights for the facility management and the preservation of the art pieces. Our contribution comes with one successful use case: the Galleria Borghese in Rome, Italy.

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KW - Pedestrian behaviour

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Y2 - 4 December 2019 through 6 December 2019

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