Real-time Crowd Counting based on Wearable Ephemeral IDs

TitleReal-time Crowd Counting based on Wearable Ephemeral IDs
Publication TypeConference Paper
Year of Publication2022
AuthorsD. Morales, I. Agudo, and J. Lopez
Conference Name19th International Conference on Security and Cryptography (SECRYPT 2022)
Date Published07/2022
Conference LocationLisbon
ISBN Number978-989-758-590-6
ISSN Number2184-7711
KeywordsCrowd Counting, IDS, Pandemics, privacy, Secure Multiparty computation

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.

Citation Keymorales2022cc
Paper File:

Supported by SecureEDGE SAVE