Contents

 
• List of Figures
• List of Tables
• Introduction
  • Related Work
  • Motivation
• Steady State Tracking
  • Modeling The Person
  • Modeling The Scene
  • The Analysis Loop
    • Predict Model Parameters
    • Measure Likelihoods For Each Class
      • Shadowing.
    • Determine Support Map
      • Morphology.
    • Update Models
      • Blending Measurements and Priors.
• Initialization and Recovery
  • Learning The Scene
  • Detect Person
  • Building the Person Model
    • Occlusion.
    • Contour Analysis
    • Integrating of Blob and Contour Features
• Performance
  • Classification Performance
  • Runtime Performance
• Applications
  • SURVIVE
  • Visually-Animated Characters
  • NetSpace
  • American Sign Language
  • DanceSpace
  • ALIVE
• Future Work
• Multi-Class Classification
• Color Spaces
• References
• About this document ...