Target Tracking System Using Multiple Cameras and Bayesian Estimation
Diego González Dondo, Javier Andres Redolfi, Martín Griffa, Guillermo Steiner, Luis Rafael Canali · IEEE Latin America Transactions · 2016
In recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.