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Resilient system for multi-tracking problem using several cameras on Raspberry Pi

Leclère, Jérôme ; Pisvin, Arthur
(2022)

Files

Leclere_08191700_Pisvin_37111700_2022.pdf
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Details

Supervisors
Macq, Benoît
Faculty
Ecole polytechnique de Louvain
Ecole polytechnique de Louvain
Degree label
Master [120] : ingénieur civil électromécanicien, à finalité spécialisée: mécatronique
Master [120] : ingénieur civil électricien, à finalité spécialisée
Abstract
Video surveillance and monitoring is an active field of research nowadays. These systems integrate sensors and algorithms which extract features from a data stream enabling analysis. In this paper, after studying some existing video-monitoring systems, we take the best from characteristics to compensate the limitations of video surveillance system as occlusions and sensors failure. The objective of this thesis is the implementation of a system performing a continuous tracking in case of these limitations. Our architecture is agent-based and inspired by an organizational and holonic multi-agent model. It paves the way to scalable, modular, resilient and open multi-sensor and multi-method surveillance systems. Finally, the system is validated through a case study representing vehicles tracked across multiple cameras.