DocumentCode :
3549246
Title :
Monocular 3D tracking of the golf swing
Author :
Urtasun, Raquel ; Fleet, David J. ; Fua, Pascal
Author_Institution :
Comput. Vision Lab., Ecole Polytech. Fed. de Lausanne, Switzerland
Volume :
2
fYear :
2005
fDate :
20-25 June 2005
Abstract :
This paper showcases our tracking algorithm described in (R. Urtasun et al., 2005). The proposed approach incorporates dynamic motion models into the human body tracking process yielding full 3D reconstruction from monocular sequences. The tracking is formulated in terms of minimizing a differentiable criterion whose differential structure is rich enough for successful optimization using a single hypothesis. In other words we avoid the computational complexity of multihypotheses algorithms while obtaining excellent results under challenging conditions.
Keywords :
image motion analysis; image reconstruction; image sequences; optimisation; solid modelling; sport; tracking; 3D image reconstruction; dynamic motion models; golf swing; human body tracking process; monocular 3D tracking; multihypotheses algorithm; Biological system modeling; Cameras; Computational complexity; Computer science; Computer vision; Humans; Image reconstruction; Laboratories; Skeleton; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.230
Filename :
1467598
Link To Document :
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