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Three Dimensional Motion Tracking using Stereo Vision

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Three Dimensional Motion Tracking using Stereo Vision. Sasakthi S. Abeysinghe ... A generic platform for 3D motion tracking. Use optical sensor based inputs ... – PowerPoint PPT presentation

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Title: Three Dimensional Motion Tracking using Stereo Vision


1
Three Dimensional Motion Tracking using Stereo
Vision
  • Sasakthi S. Abeysinghe
  • Loganathan Krishanthan
  • September 2004

2
Preamble
  • 3D Motion Tracking Techniques
  • Mechanical

Image courtesy of 4th Wave, Inc.
3
Preamble
  • 3D Motion Tracking Techniques
  • Mechanical
  • Optical Fibre

Image courtesy of Fake Space, Inc.
4
Preamble
  • 3D Motion Tracking Techniques
  • Mechanical
  • Optical Fibre
  • Magnetic

Image courtesy of Polhemus, Inc.
5
Preamble
  • 3D Motion Tracking Techniques
  • Mechanical
  • Optical Fibre
  • Magnetic
  • Acoustic

6
Preamble
  • 3D Motion Tracking Techniques
  • Mechanical
  • Optical Fibre
  • Magnetic
  • Acoustic
  • Optical

Image courtesy of ISCAN, Inc.
7
Preamble
  • 3D Motion Tracking Techniques
  • Optical Techniques need
  • High Performance computers and optimised
    algorithms
  • Adequate Lighting
  • Line of Sight

8
Preamble
  • 3D Motion Tracking Techniques
  • Optical Techniques need
  • High Performance computers
  • Optimised algorithms
  • Adequate Lighting
  • However, Optical Techniques offer contact-free
    operation

9
Goal
  • A generic platform for 3D motion tracking
  • Use optical sensor based inputs
  • Separate data processing from information use
  • Make 3D information available to small and simple
    devices.

10
Approach
11
Design - 3D Positioning
12
Design Communications Protocol
13
The Prototype
  • Implementation Language
  • Borland Delphi 7.0
  • Technologies
  • OpenGL, DirectX, RSA Encryption, XML
  • Open Source Libraries
  • DSPack, GLScene, Delphi HH Kit, Turbo Power
    Lockbox

14
The Prototype
15
The Future
  • Object Recognition Module
  • Cross-Protocol Communications Module
  • Data Compression in Communications
  • More than two cameras
  • Movable image sources
  • Integrating with other Motion Tracking techniques
  • Coordination between multiple Servers

16
Conclusion
  • Academic and Commercial Potential
  • Physical Automation
  • Behavioural Analysis
  • Surveillance
  • Machine Vision
  • Etc.
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