Estimation of Scenes Contributing to Score in Tennis Video Using Attention

Ryunosuke Kurose, Masaki Hayashi, Yoshimitsu Aoki

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

    Abstract

    The use of image processing technology for sports is increasing. By analyzing athletes and teams based on video analysis, scientific and objective analysis can be conducted separately from subjective analysis of experts, and individuals or teams can be evaluated with the same index. As can be seen from such a trend, recently, technological progress has made it possible to detect and analyze what can be visually confirmed in the sports video. It is certain that these technologies are helping coaches in the analysis of movement. However, these cannot play the role of coaches. The role is to judge what is important from what can be visually confirmed. There are also empirical and qualitative parts in coach's judgment, and no reproducibility of understanding the important parts unless it is a specialist. Based on this background, we thought that it would be useful to extract more important scenes during the game using quantitative information. Such technology can be applied to various sports, but this paper, we focused on tennis. In this thesis, the aim is to estimate which play was largely contributed to the tennis game result (score, failure). In addition, we don't use supervised information that can be obtained from an empirical point of view. This is to eliminate dataset dependency caused by using data created from qualitative information. Specifically, based on quantitative information such as athletes' movement and score result, we attempted to estimate the attention from unsupervised method.

    Original languageEnglish
    Title of host publicationProceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
    EditorsRichard Chbeir, Gabriella Sanniti di Baja, Luigi Gallo, Kokou Yetongnon, Albert Dipanda, Modesto Castrillon-Santana
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages672-675
    Number of pages4
    ISBN (Electronic)9781538693858
    DOIs
    Publication statusPublished - 2019 May 3
    Event14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 - Las Palmas de Gran Canaria, Spain
    Duration: 2018 Nov 262018 Nov 29

    Publication series

    NameProceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018

    Conference

    Conference14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
    CountrySpain
    CityLas Palmas de Gran Canaria
    Period18/11/2618/11/29

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    Keywords

    • Athlete
    • Attention
    • Match
    • Pose-estimation
    • Tennis
    • Video-analysis
    • Visualization

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition

    Cite this

    Kurose, R., Hayashi, M., & Aoki, Y. (2019). Estimation of Scenes Contributing to Score in Tennis Video Using Attention. In R. Chbeir, G. S. di Baja, L. Gallo, K. Yetongnon, A. Dipanda, & M. Castrillon-Santana (Eds.), Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 (pp. 672-675). [8706193] (Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SITIS.2018.00108