2026-05-31T02:37:00Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/247292026-02-03T11:34:31Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Morales, Daniel author Agudo-Ruiz, Isaac author López-Muñoz, Francisco Javier author 2022 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. 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. 978-989-758-590-6 2184-7711 https://hdl.handle.net/10630/24729 10.5220/0011327200003283 Criptografía (Informática) Real-Time Crowd Counting based on wearable Ephemeral IDs