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

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1 Papers

Real-time Crowd Counting based on Wearable Ephemeral IDs

Topics: Personal Data Protection for Information Systems; Data Protection; Security and Privacy in Location-Based Services; Security and Privacy in Mobile Systems; Privacy Enhancing Technologies

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

Digital Object Identifier: 10.5220/0011327200003283

Proceedings of SECRYPT 2022, ISBN: 978-989-758-590-6

Quick 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.