Yoon, Sang Min ; Malerczyk, Cornelius ; Graf, Holger (2009)
Skill Measurement Through Real-Time 3D Reconstruction and 3D Pose Estimation.
SKILLS 09.
Conference or Workshop Item, Bibliographie
Abstract
Skill measurement for sports analysis is still a challenging issue for sports scientists. In recent years, video based analysis of body movements and its corrections has become a widespread tool within modern athlete training centres throughout the different training stages of the athletes' pre-competition preparation. The challenges imposed by this supporting service are manifold and range from high resolution capturing of the athlete to a precise real-time reconstruction of body movements. By augmenting ideal virtual poses to the real motions, a coach is able to analyze and communicate incorrect or even incomplete motions of the athlete. For the precise measurement of body motions, typically motion capture systems (MoCap) are used. During the last decade marker based motion capture systems matured and did find their way into the area of medical and sports science. Markerless motion capturing systems, however, are still in its infancy. This paper describes a new approach to markerless motion capturing and its use for sports skills measurement and analysis.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2009 |
| Creators: | Yoon, Sang Min ; Malerczyk, Cornelius ; Graf, Holger |
| Type of entry: | Bibliographie |
| Title: | Skill Measurement Through Real-Time 3D Reconstruction and 3D Pose Estimation |
| Language: | English |
| Date: | 2009 |
| Publisher: | SKILLS Consortium, Donostia - San Sebastián |
| Event Title: | SKILLS 09 |
| Abstract: | Skill measurement for sports analysis is still a challenging issue for sports scientists. In recent years, video based analysis of body movements and its corrections has become a widespread tool within modern athlete training centres throughout the different training stages of the athletes' pre-competition preparation. The challenges imposed by this supporting service are manifold and range from high resolution capturing of the athlete to a precise real-time reconstruction of body movements. By augmenting ideal virtual poses to the real motions, a coach is able to analyze and communicate incorrect or even incomplete motions of the athlete. For the precise measurement of body motions, typically motion capture systems (MoCap) are used. During the last decade marker based motion capture systems matured and did find their way into the area of medical and sports science. Markerless motion capturing systems, however, are still in its infancy. This paper describes a new approach to markerless motion capturing and its use for sports skills measurement and analysis. |
| Uncontrolled Keywords: | 3D Reconstruction, Realtime 3D graphics, Pose estimation |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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