ELLIOTT, Nathan, CHOPPIN, Simon, GOODWILL, Simon, SENIOR, Terry, HART, John and ALLEN, Tom (2018). Single view silhouette fitting techniques for estimating tennis racket position. Sports Engineering, 21 (2), 137-147.
|
PDF
Elliott - Single view silhouette fitting techniques (VoR).pdf - Published Version Creative Commons Attribution. Download (5MB) | Preview |
Abstract
Stereo camera systems have been used to track markers attached to a racket, allowing its position to be obtained in three-dimensional (3D) space. Typically, markers are manually selected on the image plane, but this can be time-consuming. A markerless system based on one stationary camera estimating 3D racket position data is desirable for research and play. The markerless method presented in this paper relies on a set of racket silhouette views in a common reference frame captured with a calibrated camera and a silhouette of a racket captured with a camera whose relative pose is outside the common reference frame. The aim of this paper is to provide validation of these single view fitting techniques to estimate the pose of a tennis racket. This includes the development of a calibration method to provide the relative pose of a stationary camera with respect to a racket. Mean static racket position was reconstructed to within ±2 mm. Computer generated camera poses and silhouette views of a full size racket model were used to demonstrate the potential of the method to estimate 3D racket position during a simplified serve scenario. From a camera distance of 14 m, 3D racket position was estimated providing a spatial accuracy of 1.9 ± 0.14 mm, similar to recent 3D video marker tracking studies of tennis.
Item Type: | Article |
---|---|
Research Institute, Centre or Group - Does NOT include content added after October 2018: | Centre for Sports Engineering Research |
Identification Number: | https://doi.org/10.1007/s12283-017-0243-0 |
Page Range: | 137-147 |
Depositing User: | Jill Hazard |
Date Deposited: | 31 Jul 2017 11:09 |
Last Modified: | 18 Mar 2021 04:48 |
URI: | https://shura.shu.ac.uk/id/eprint/16383 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year