The following paper presents the design and simulation of a system of ground-based stereo cameras to enable the autonomous tracking of migratory raptors in order to facilitate the study of their flight patterns. A number of stations consisting of a camera pair and a processor are set up along the ridge under observation. Each station computes an estimate of the position and velocity of the birds viewed by its cameras using an Unscented Kalman Filter. The estimates from each station are transmitted to a master computer that fuses all the independent estimates and transmits the resulting estimate back to all the stations. Results of Monte Carlo simulations show the convergence of the estimated error to the true error for estimates from one or more stations.