Monocular 3-D Tracking of the Golf Swing

  • Authors:
  • Raquel Urtasun;David J. Fleet;Pascal Fua

  • Affiliations:
  • EPFL;University of Toronto;EPFL

  • Venue:
  • CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
  • Year:
  • 2005

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Abstract

We propose an approach to incorporating dynamic models into the human body tracking process that yields full3-D reconstructions from monocular sequences. We formulate the tracking problem in terms of minimizing a differentiable criterion whose differential structure is rich enough for successful optimization using a simple hill-climbing approach as opposed to a multi-hypotheses probabilistic one. In other words, we avoid the computational complexity of multi-hypotheses algorithms while obtaining excellent results under challenging conditions. To demonstrate this, we focus on monocular tracking of a golf swing from ordinary video. It involves both dealing with potentially very different swing styles, recovering arm motions that are perpendicular to the camera plane and handling strong self-occlusions.