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.
Manjah, D., Galland, S., De Vleeschouwer, C., & Macq, B. (2024). Autonomous Methods in Multisensor Architecture for Smart Surveillance. Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART. Published. 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, Rome, Italy. https://doi.org/10.5220/0012395700003636