Hidehiko Shishido
ABSTRACT
In this paper, we introduce a method to estimate 3D position of a badminton shuttle using unsynchronized multiple-view videos. The research of object tracking for sports is conducted as an application of Computer Vision to improve the tactics involved with such sports. This paper proposes a technique to stably estimate object's position by using motion blur that used be considered as observational noise in the ordinary works. Badminton shuttle has a large variation of the moving speed, the motion trajectory is unpredictable and moreover the observation size is very small. Thus, it cannot be grasped correctly with human eyes. We apply our proposed technique to badminton shuttle tracking to confirm the ability of our method to enhance the human vision. We also consider that there is some contribution to augment sports in future.
- Fei Yan, William Christmas, and Josef Kittler: Layered Data Association Using Graph-Theoretic Formulation with Application to Tennis Ball Tracking in Monocular Sequences. In Proc. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 10, pp.1814--1830. 2008 Google Scholar
Digital Library
- H. B. Shitrit, J. Berclaz, F. Fleuret, and P. Fua.: Tracking multiple people under global appearance constraints. In Proc. International Conference on Computer Vision (ICCV2011), pp.137--144 Google ScholarDigital Library
- L. Díaz-Más, R. Muñoz-Salinas, F.J. Madrid-Cuevas, R. Medina-Carnicer: Shape from silhouette using Dempster-Shafer theory. In Proc. Pattern Recognition, 43, 6, pp. 2119--2131. 2010 Google ScholarDigital Library
- 3D Position Estimation of Badminton Shuttle Using Unsynchronized Multiple-View Videos
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