Abstract
The Letter presents a real-time surveillance system able to localise and track multiple unknown objects (e.g. trunks, trash compactors, etc.) moving simultaneously in a sanitary landfill. Elementary features of moving image areas are used for object localisation, and a network of extended Kalman filters is applied for multiple object tracking.
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