Real-time Crowd Counting based on Wearable Ephemeral IDs

Daniel Morales, Isaac Agudo, Javier Lopez

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: SECRYPT, ISBN 978-989-758-590-6, pages 249-260. DOI: 10.5220/0011327200003283

in Bibtex Style

@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 - Volume 1: SECRYPT,},
year={2022},
pages={249-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011327200003283},
isbn={978-989-758-590-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - Real-time Crowd Counting based on Wearable Ephemeral IDs
SN - 978-989-758-590-6
AU - Morales D.
AU - Agudo I.
AU - Lopez J.
PY - 2022
SP - 249
EP - 260
DO - 10.5220/0011327200003283