Tracking with Text-Based Messages

Authors:
Carlos Alberola;George V. Cybenko
Affiliations:
-;-
Venue:
IEEE Intelligent Systems
Year:
1999

Citing 4
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Abstract

Many important information-processing applications involve text-based messages that multiple human observers generate over time. The tracking problem is to associate messages about the same object or phenomenon and create the most probable tracks based on those associations. This article describes a working prototype, TextTrack, for solving such problems. TextTrack combines mature radar signal-processing tracking methods with statistical models of natural-language messages.