Target tracking system using multiple cameras and Bayesian estimation

In recent years, the increase in the number of available camera networks, propitiates the rise of new signal processing techniques and applications. In this work is presented a camera network system for mobile target tracking. More specifically, it is implemented a distributed particle filter, based on leader agents for state estimation. Finally, the proposed system is validated in several simulations, as well as in a real experiment made with a camera network to track a mobile platform.