A hybrid approach to target tracking
Paul Morawski · 2003
The author describes a proposed AI (artificial intelligence) system for tracking the activity of a known set of targets given a time sequence of reports which contain clues to targets' identity and position. The system is oriented toward tracking multiple highly agile targets; continuous motion is not assumed. An example concerns bird tracking. The system is hybrid in that it combines a production system with a Bayesian belief network. The author outlines the system architecture, along with some of the motivations which led to it.>