Real-Time Camera Tracking Using Known 3D Models and a Particle Filter

  title={Real-Time Camera Tracking Using Known 3D Models and a Particle Filter},
  author={Mark Pupilli and Andrew Calway},
  journal={18th International Conference on Pattern Recognition (ICPR'06)},
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently developed techniques for 3D tracking with a particle filter. The novelty is in the use of edge information for 3D tracking which has not been achieved before within a realtime Bayesian sampling framework. We develop a robust tracker by carefully designing the particle filter observation model: grouping line segments… CONTINUE READING
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A tutorial on particle filters for on-line non-linear/nongaussian bayesian tracking

  • S. Arulampalam, S. Maskell, N. Gordon, T. Clapp
  • IEEE Trans on Signal Processing,
  • 2002
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