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Authors: Ilias Lazarou ; Anastasios Kesidis and Andreas Tsatsaris

Affiliation: Department of Surveying and Geoinformatics Engineering, University of West Attica, Athens, Greece

Keyword(s): Panic Detection, Biometrics, Machine Learning, Classification, Real-Time Data.

Abstract: We present a real-time system that uses machine learning and georeferenced biometric data from wearables and smartphones to detect and map crowd panic emergencies. Our system predicts stress levels, tracks stressed individuals, and introduces the CLOT parameter for better noise filtering and response speed. We also introduce the DEI metric to assess panic severity. The system creates dynamic areas showing the evolving panic situation in real-time. By integrating CLOT and DEI, emergency responders gain insights into crowd behaviour, enabling more effective responses to panic-induced crowd movements. This system enhances public safety by swiftly detecting, mapping, and assessing crowd panic emergencies.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lazarou, I., Kesidis, A. and Tsatsaris, A. (2024). Real-Time Detection and Mapping of Crowd Panic Emergencies. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 485-491. DOI: 10.5220/0012372200003660

@conference{visapp24,
author={Ilias Lazarou and Anastasios Kesidis and Andreas Tsatsaris},
title={Real-Time Detection and Mapping of Crowd Panic Emergencies},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={485-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012372200003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Real-Time Detection and Mapping of Crowd Panic Emergencies
SN - 978-989-758-679-8
IS - 2184-4321
AU - Lazarou, I.
AU - Kesidis, A.
AU - Tsatsaris, A.
PY - 2024
SP - 485
EP - 491
DO - 10.5220/0012372200003660
PB - SciTePress