Leveraging Cognitive Context for Object Recognition

Abstract

Contextual information can greatly improve both the speed and accuracy of object recognition. Context is most often viewed as a static concept, learned from large image databases. We build upon this concept by exploring cognitive context, demonstrating how rich dynamic context provided by computational cognitive models can improve object recognition. We demon- strate the use cognitive context to improve recognition using a small database of objects.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA619080

Entities

People

  • J. Gregory Trafton
  • Laura M Hiatt
  • Wallace Lawson

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Classification
  • Computer Vision
  • Computers
  • Databases
  • Environment
  • Errors
  • Identification
  • Image Recognition
  • Machine Perception
  • Military Research
  • Object Recognition
  • Pattern Recognition
  • Perception
  • Recognition

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Vision.