Title :
A hybrid approach to target tracking
Author_Institution :
Mitre Corp., McLean, VA, USA
Abstract :
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
Keywords :
Bayes methods; artificial intelligence; knowledge based systems; tracking; Bayesian belief network; Daffy duck; Donald duck; Tweety; artificial intelligence; bird tracking; expert systems; foraging areas; hybrid tracking system; identity; multiple highly agile targets; position; production system; reasoning under uncertainty; system architecture; target tracking; Acoustic sensors; Acoustic signal detection; Air traffic control; Artificial intelligence; Bayesian methods; Military aircraft; Radar detection; Radar tracking; Target tracking; Underwater tracking;
Conference_Titel :
AI Systems in Government Conference, 1989.,Proceedings of the Annual
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-1934-1
DOI :
10.1109/AISIG.1989.47308
