Autonomous Methods in Multisensor Architecture for Smart Surveillance

Dani Manjah, Stéphane Galland, Christophe De Vleeschouwer, Benoît Macq

2024

Abstract

This paper considers the deployment of flexible and high-performance surveillance systems. These systems must continuously integrate new sensors and sensing algorithms, which are autonomous (e.g., capable of making decisions independently of a central system) and possess interaction skills (e.g., capable of exchanging observations). For this purpose, our work proposes adopting an agent-based architecture derived from an organizational and holonic (i.e., system of systems) multi-agent model. It leverages autonomous processing methods, resulting in a scalable and modular multisensor and multimethod surveillance systems. A vehicle tracking case study demonstrates the relevance of our approach in terms of effectiveness and runtime.

Paper Citation

in Harvard Style

Manjah D., Galland S., De Vleeschouwer C. and Macq B. (2024). Autonomous Methods in Multisensor Architecture for Smart Surveillance. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 823-831. DOI: 10.5220/0012395700003636

in Bibtex Style

@conference{icaart24,
author={Dani Manjah and Stéphane Galland and Christophe De Vleeschouwer and Benoît Macq},
title={Autonomous Methods in Multisensor Architecture for Smart Surveillance},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={823-831},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012395700003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Autonomous Methods in Multisensor Architecture for Smart Surveillance
SN - 978-989-758-680-4
AU - Manjah D.
AU - Galland S.
AU - De Vleeschouwer C.
AU - Macq B.
PY - 2024
SP - 823
EP - 831
DO - 10.5220/0012395700003636
PB - SciTePress