Fusing template and point information to track planes with large interframe displacement

  • Authors:
  • Naeem Akhter

  • Affiliations:
  • Technical University, Vienna, Austria

  • Venue:
  • MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
  • Year:
  • 2012

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Abstract

This paper presents a hybrid approach by fusing template and keypoint based tracking to track pose of planar textured targets with large interframe displacement. The fusion is made such that it adds to accuracy and convergence of template based tracking without involving feature selection, introducing pose drift strategy, and incorporating sophisticated prediction or motion model. The approach is not only robust against illumination changes and partial occlusion, but also free from offline pose learning and prior knowledge about background which makes it flexible to adapt change in scene.