Visual Human Intent Analysis Survey

Abstract

Visual Human Intent Analysis (VHIA) is a growing field of research devoted to algorithms that categorize human behavior through input of visual image sequences. In VHIA, it is difficult to make an implementation framework that is robust enough to handle the many non-deterministic ways of human physical actions. This paper will survey several techniques currently used in VHIA including non-traditional artificial intelligence techniques, visual languages, statistical algorithms, and others. It will give the reader the background and understanding of how open this domain is to new algorithms; improving on the overall research in VHIA or similarly related problems.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2011
Accession Number
ADA556013

Entities

People

  • Christian C. Wagner
  • Michael S. Del Rose

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Bayesian Networks
  • Computer Languages
  • Hidden Markov Models
  • Human Behavior
  • Identification
  • Identification Systems
  • Image Processing
  • Language
  • Machine Learning
  • Markov Models
  • Neural Networks
  • Recognition
  • Security
  • Statistical Algorithms
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Systems Analysis and Design
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML