Reconstruction of 3D trajectories for performance analysis in table tennis

Sho Tamaki, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A method of reconstructing the 3D trajectories of a table tennis ball is introduced, which was developed to solve the problem with conventional analysis in table tennis. There are several methods of reconstructing 2D ball trajectories or 3D trajectories of balls heavier than those in table tennis. However, these methods cannot be adopted to reconstruct the 3D trajectories of table tennis balls, because there are problems that are attributed to the dimensions of the trajectories and weight of the balls. The method proposed in this paper could reconstruct the 3D trajectories of a table tennis ball. The key feature of the method is that it approximates that a ball is traveling on tilted planes. This approximation makes reconstruction robust against failure to measure 3D ball positions. A system using two RGB cameras was developed based on the new method. The system experimentally demonstrated that it could provide accurate information for match analysis. A system using an RGB-D camera was then developed to optimize usability for practitioners. We experimentally demonstrated that the system could provide accurate information for service analysis.

Original languageEnglish
Title of host publicationIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Pages1019-1026
Number of pages8
DOIs
Publication statusPublished - 2013
Event2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 - Portland, OR, United States
Duration: 2013 Jun 232013 Jun 28

Other

Other2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
CountryUnited States
CityPortland, OR
Period13/6/2313/6/28

Fingerprint

Trajectories
Cameras

Keywords

  • multiple cameras
  • performance analysis
  • RGB-D camera
  • table tennis
  • trajectory reconstruction

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Tamaki, S., & Saito, H. (2013). Reconstruction of 3D trajectories for performance analysis in table tennis. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 1019-1026). [6595994] https://doi.org/10.1109/CVPRW.2013.148

Reconstruction of 3D trajectories for performance analysis in table tennis. / Tamaki, Sho; Saito, Hideo.

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2013. p. 1019-1026 6595994.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tamaki, S & Saito, H 2013, Reconstruction of 3D trajectories for performance analysis in table tennis. in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops., 6595994, pp. 1019-1026, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013, Portland, OR, United States, 13/6/23. https://doi.org/10.1109/CVPRW.2013.148
Tamaki S, Saito H. Reconstruction of 3D trajectories for performance analysis in table tennis. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2013. p. 1019-1026. 6595994 https://doi.org/10.1109/CVPRW.2013.148
Tamaki, Sho ; Saito, Hideo. / Reconstruction of 3D trajectories for performance analysis in table tennis. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2013. pp. 1019-1026
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