An Approach to the Target Data Association Problem Using Subjective and Statistical Information

Abstract

A general approach is presented to the data association problem in tracking which incorporates both linguistic-based and statistical information, extending classical results. The technique continues the previous effort of the PACT (Possibilistic Approach to Correlation and Tracking) algorithm. In addition, asymptotic consistency results are obtained relative to increasing sample sizes and model refinements. The PACT algorithm has been documented in previous papers. It is an attempt to perform track-to-track or report-to-track data association or 'correlation' based upon varying information sources. The procedure in an obvious way may be extended to problems of medical diagnosis, fault determination, and classification.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA240739

Entities

People

  • I. R. Goodman

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computations
  • Consistency
  • Data Association
  • Figure Of Merit
  • Fuzzy Sets
  • Language
  • Natural Languages
  • Probability
  • Probability Density Functions
  • Random Variables
  • Test And Evaluation
  • Theorems

Readers

  • Artificial Intelligence
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.