Metrics for Target Tracking

Model-based trackers generate a synthetic distribution function for the kinematic state of the target. The mean is used to locate the target, and the covariance is used to generate a confidence region about the mean. We shall show that a map-enhanced, multiple model algorithms can be used to reduce the tracking error and to make the confidence region more compact.