A hybrid approach to target tracking

Author

Morawski, Paul

Author_Institution

Mitre Corp., McLean, VA, USA

fYear

1989

fDate

27-31 Mar 1989

Firstpage

80

Lastpage

87

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;

fLanguage

English

Publisher

ieee

Conference_Titel

AI Systems in Government Conference, 1989.,Proceedings of the Annual

Conference_Location

Washington, DC

Print_ISBN

0-8186-1934-1

Type

conf

DOI

10.1109/AISIG.1989.47308

Filename

47308