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Monocular 3D tracking of the golf swing

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3 Author(s)
Urtasun, R. ; Comput. Vision Lab., Ecole Polytech. Fed. de Lausanne, Switzerland ; Fleet, D.J. ; Fua, P.

We propose an approach to incorporating dynamic models into the human body tracking process that yields full 3D 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 multihypotheses probabilistic one. In other words, we avoid the computational complexity of multihypotheses 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.

Published in:

Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on  (Volume:2 )

Date of Conference:

20-25 June 2005

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