Single Camera Based Optical Tracking System for Personal Entertainment

  • Dongdong Weng
  • Yue Liu
  • Yongtian Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3942)


This paper proposes a prototype of an optical tracking system based on a single camera, and presents a design of the active infrared optical tracker to improve the stability of the tracking. Moreover, a method based on Virtual Visual Servoing (VVS) is utilized to compute the pose of the device to be tracked. With the proposed method, the pose computation can be considered as the dual problem of visual servoing, thus an accurate and robust result can be obtained. The proposed system can be regarded as a 6-DOF controller and can be widely applied in the fields of entertainment, education and industry, etc.


Augmented Reality Virtual Object Single Camera Visual Servoing Tracking Device 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Foursa, M.: Real-time infrared tracking system for virtual environments. In: Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry, pp. 427–430 (June 2004)Google Scholar
  2. 2.
    Marchand, E., Chaumette, F.: Virtual visual servoing: a framework for real-time augmented reality. In: Proceeding of EUROGRAPHICS 2002 Conference, Saarebrcken, Germany. Computer Graphics Forum, vol. 21(3), pp. 289–298 (2002)Google Scholar
  3. 3.
    Comport, A.I.: A real-time tracker for markerless augmented reality. In: ISMAR 2003 (October 2003)Google Scholar
  4. 4.
    Hutchinson, S., Hager, G., Corke, P.: A tutorial on visual servo control. IEEE Trans. on Robotics and Automation 12(5), 651–670 (1996)CrossRefGoogle Scholar
  5. 5.
    Espiau, B., Chaumette, F., Rives, P.: A new approach to visual servoing in robotics. IEEE Trans. on Robotics and Automation 8(3), 313–326 (1992)CrossRefGoogle Scholar
  6. 6.
    Ansar, A., Daniilidis, K.: Linear Pose Estimation from Points or Lines. IEEE Trans. Pattern Analysis and Machine Intelligence 25 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dongdong Weng
    • 1
  • Yue Liu
    • 1
  • Yongtian Wang
    • 1
  1. 1.School of Information Science and TechnologyBeijing Institute of TechnologyBeijingChina

Personalised recommendations