Localisation and tracking of multiple unknown objects in real environments

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.