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Measurement and analysis of visitors' trajectories in crowded museums
November 19, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri
arXiv ID
1912.02744
Category
cs.HC: Human-Computer Interaction
Citations
7
Venue
arXiv.org
Last Checked
4 months ago
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.
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