Target tracking has been widely used in different fields such as surveillance, automated

guidance systems, and robotics in general. The most commonly used framework for

tracking is that of Bayesian sequential estimation. This framework is probabilistic in

nature, and thus facilitates the modelling of uncertainties due to inaccurate models,

sensor errors, environmental noise, etc.