Using integrity constraints to guide the interpretation of RFID-trajectory data

Abstract

We discuss an approach for interpreting RFID data in the context of object tracking. It consists in translating the readings generated by RFID-tracked moving objects into semantic locations over a map, by exploiting some integrity constraints. Our approach performs a probabilistic conditioning: it starts from an a-priori probability assigned to the possible trajectories, discards the trajectories that are inconsistent with the constraints, and assigns to the others a suitable probability of being the actual one.