RT Journal Article
T1 Real-Time Crowd Counting based on wearable Ephemeral IDs
A1 Morales, Daniel
A1 Agudo-Ruiz, Isaac
A1 López-Muñoz, Francisco Javier
K1 Criptografía (Informática)
AB Crowd Counting is a very interesting problem aiming at counting people typically based on density averagesand/or aerial images. This is very useful to prevent crowd crushes, especially on urban environments withhigh crowd density, or to count people in public demonstrations. In addition, in the last years, it has becomeof paramount importance for pandemic management. For those reasons, giving users automatic mechanismsto anticipate high risk situations is essential. In this work, we analyze ID-based Crowd Counting, and proposea real-time Crowd Counting system based on the Ephemeral ID broadcast by contact tracing applications onwearable devices. We also performed some simulations that show the accuracy of our system in differentsituations.
PB SCITEPRESS
SN 978-989-758-590-6
SN 2184-7711
YR 2022
FD 2022
LK https://hdl.handle.net/10630/24729
UL https://hdl.handle.net/10630/24729
LA eng
NO 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, ISBN 978-989-758-590-6, ISSN 2184-7711, pages 249-260.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026