Estimation of runners’ number of steps, stride length and speed transition from video of a 100-meter race

Kentaro Yagi, Kunihiro Hasegawa, Yuta Sugiura, Hideo Saito

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

The purpose of this study is sensing movements of 100-m runners from video that is publicly available, for example, Internet broadcasts. Normally, information that can be obtained from a video is limited to the number of steps and average stride length. However, our proposed method makes it possible to measure not only this information, but also time-scale information like every stride length and speed transition from the same input. Our proposed method can be divided into three steps. First, we generate a panoramic image of the 100-m track. By doing this, we can estimate where the runners are running in a frame at the 100-meter scale. Second, we detect whether the runner steps in the frame. For this process, we utilize the detected track lines and leg joint positions of runners. Finally, we project every steps to the overview image of the 100-m track to estimate the stride length at the 100-m scale. In the experiment part, we apply our method to various race videos. We evaluate the accuracy of our method via comparison with the data measured using typical methods. In addition, we evaluate the accuracy of estimation of the number of steps and show visualized runners’ steps and speed transitions.

元の言語English
ホスト出版物のタイトルMMSports 2018 - Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, Co-located with MM 2018
出版者Association for Computing Machinery, Inc
ページ87-95
ページ数9
ISBN(電子版)9781450359818
DOI
出版物ステータスPublished - 2018 10 19
イベント1st ACM International Workshop on Multimedia Content Analysis in Sports, ACM 2018, co-located with ACM Multimedia 2018 - Seoul, Korea, Republic of
継続期間: 2018 10 26 → …

出版物シリーズ

名前MMSports 2018 - Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, Co-located with MM 2018

Conference

Conference1st ACM International Workshop on Multimedia Content Analysis in Sports, ACM 2018, co-located with ACM Multimedia 2018
Korea, Republic of
Seoul
期間18/10/26 → …

ASJC Scopus subject areas

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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  • これを引用

    Yagi, K., Hasegawa, K., Sugiura, Y., & Saito, H. (2018). Estimation of runners’ number of steps, stride length and speed transition from video of a 100-meter race. : MMSports 2018 - Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, Co-located with MM 2018 (pp. 87-95). (MMSports 2018 - Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, Co-located with MM 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3265845.3265850