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Dynamic voxel carving in tennis based on player localisation using a low cost camera network
Monaghan, David; Kelly, Philip; O'Connor, Noel E.
In this paper, we address the problem of reconstructing 3D volumetric models, illustrating human sporting performance for use in coaching scenarios. We advocate the use of low cost camera networks for acquiring such data, allowing the approach to be feasibly adopted by both amateur and elite level sports athletes. A dynamic voxel carving approach is described, coupled with over-head player tracking and autonomous background subtraction, to automatically produce a 3D reconstruction technique that intelligently uses memory resources. We demonstrate the efficacy of our approach in the context of tennis as a challenging application scenario.
Keyword(s): Visualization; Algorithms; Image processing; Reconstruction algorithms; Voxel carving
Publication Date:
2011
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Monaghan, David ORCID: 0000-0002-5169-9902 <https://orcid.org/0000-0002-5169-9902>, Kelly, Philip and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> (2011) Dynamic voxel carving in tennis based on player localisation using a low cost camera network. In: 2011 IEEE International Conference on Image Processing (ICIP 2011), 11-14 Sept. 2011, Brussels, Belgium.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/16322/1/Camera_ready_2011_ICIP.pdf
First Indexed: 2011-10-08 05:16:42 Last Updated: 2019-02-09 06:49:14