Single view silhouette fitting techniques for estimating tennis racket position

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.

Elliott - Single view silhouette fitting techniques (VoR).pdf - Published Version
Creative Commons Attribution.

Download (5MB) | Preview
Official URL:
Link to published version::


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:
Page Range: 137-147
Depositing User: Jill Hazard
Date Deposited: 31 Jul 2017 11:09
Last Modified: 18 Mar 2021 04:48

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics