Evidence Combination Using Likelihood Generators.

Abstract

This document addresses the problem of combining output of several detectors for the same feature of an image. The author shows that if the detectors return likelihood I can roboustly combine their outputs. The combination has the advantages that: 1) The confidences of the operators in their own reports are taken into account. Hence if an operator is confident about the situation and the others are not then the reports of the confident operator dominates the decision process; 2) A priori confidences in the different operators can be taken into account; and 3) The work to combine 'N' operators is linear in 'N'. This theory has been applied to the problem of boundary detection. Results from these tests are presented here.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1987
Accession Number
ADA179952

Entities

People

  • David Sher

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Change Detection
  • Computer Science
  • Computer Vision
  • Detection
  • Detectors
  • Image Processing
  • Information Processing
  • Inverse Problems
  • New York
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Standards

Readers

  • Radar Systems Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.