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Authors: Daniel Morales ; Isaac Agudo and Javier Lopez

Affiliation: Network, Information and Computer Security Lab, Department of Computer Science, ITIS Software, Universidad de Málaga, Málaga, Spain

Keyword(s): Pandemics, Crowd Counting, Bloom Filter, Privacy, SMPC, Ephemeral ID.

Abstract: Crowd Counting is a very interesting problem aiming at counting people typically based on density averages and/or aerial images. This is very useful to prevent crowd crushes, especially on urban environments with high crowd density, or to count people in public demonstrations. In addition, in the last years, it has become of paramount importance for pandemic management. For those reasons, giving users automatic mechanisms to anticipate high risk situations is essential. In this work, we analyze ID-based Crowd Counting, and propose a real-time Crowd Counting system based on the Ephemeral ID broadcast by contact tracing applications on wearable devices. We also performed some simulations that show the accuracy of our system in different situations.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Morales, D.; Agudo, I. and Lopez, J. (2022). Real-time Crowd Counting based on Wearable Ephemeral IDs. In Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT; ISBN 978-989-758-590-6; ISSN 2184-7711, SciTePress, pages 249-260. DOI: 10.5220/0011327200003283

@conference{secrypt22,
author={Daniel Morales. and Isaac Agudo. and Javier Lopez.},
title={Real-time Crowd Counting based on Wearable Ephemeral IDs},
booktitle={Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT},
year={2022},
pages={249-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011327200003283},
isbn={978-989-758-590-6},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - SECRYPT
TI - Real-time Crowd Counting based on Wearable Ephemeral IDs
SN - 978-989-758-590-6
IS - 2184-7711
AU - Morales, D.
AU - Agudo, I.
AU - Lopez, J.
PY - 2022
SP - 249
EP - 260
DO - 10.5220/0011327200003283
PB - SciTePress