Agent-Based Target Detection in 3-Dimensional Environments

Abstract

Visual perception modeling is generally weak for game AI and computer generated forces (CGF), or agents, in computer games and military simulations. Several tricks and shortcuts are used in perceptual modeling. The results are, under certain conditions, unrealistic behaviors that negatively effect user immersion in games and call into question the validity of calculations in fine resolution military simulations. By determining what the computer-generated agent sees using methods similar to that used to generate the human players' screen view in 3- D virtual environments, we hope to present a method that can more accurately model human visual perception, specifically the major problem of a entity "hiding in plain sight".

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA432287

Entities

People

  • Joaquin S. Correia

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Combat Simulations
  • Computational Science
  • Computer Programs
  • Computers
  • Detection
  • Experimental Data
  • Graphics Processing Unit
  • Military Training
  • Perception
  • Simulations
  • Target Acquisition
  • Target Detection
  • Three Dimensional
  • Video Games
  • Virtual Reality
  • Visual Perception

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Educational Psychology