The initial video-surveillance phases defined in this work
are the following: background subtraction, blob fusion,
detections-to-tracks association based on Kalman filtering and a
LSAP solution and, finally, an occlusion management based on
visual appearance. The main goal of these algorithms is minimizing
the error propagation between them and providing useful information
about human trajectories to the final alarm processes for
improving the general performance of the system.