Understanding Stick Figures.

Abstract

This paper describes a framework for a computer model of stick figure understanding in which semantic inferences are made from body postures. Stick figures of humans are shown to provide a rich environment in which to develop and test techniques and methods of visual understanding. The computer system which will implement the theory is called SKELETUN. The notion of a hierarchical organization of recognition packets running in parallel is introduced. This paradigm is applied to an example. In addition, it is shown how SKELETUN relies on interaction between model-driven and data-driven modes. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA047817

Entities

People

  • Martin Herman

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Body Regions
  • Cognition
  • Computer Science
  • Computer Vision
  • Computers
  • Databases
  • Environment
  • Language
  • Maryland
  • Military Research
  • National Security
  • Natural Languages
  • Recognition
  • Semantics
  • Universities

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference