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Dynamic voxel carving in tennis based on player localisation using a low cost camera network

Monaghan, David orcid logoORCID: 0000-0002-5169-9902, Kelly, Philip and O'Connor, Noel E. orcid logoORCID: 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.

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.
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Uncontrolled Keywords:Image processing; Reconstruction algorithms; Voxel carving
Subjects:Computer Science > Visualization
Computer Science > Algorithms
DCU Faculties and Centres:Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16322
Deposited On:07 Oct 2011 13:32 by David Monaghan . Last Modified 22 Oct 2018 15:34

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