Pitching motion matching based on pose similarity using dynamic time warping

Ryohei Osawa; Takaaki Ishikawa; Hiroshi Watanabe

doi:10.1109/GCCE50665.2020.9291730

Pitching motion matching based on pose similarity using dynamic time warping

Ryohei Osawa, Takaaki Ishikawa, Hiroshi Watanabe

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

By comparing multiple videos, it is possible to find the differences between the movements by different players or between motions of the same player in separate situations. To compare multiple motions, it is necessary to match the timing of the motions. However, it is difficult to synchronize the timing since the motion speed and usage of the body varying by player and situation. Therefore, in this paper, we propose a matching method for two pitching motions based on pose similarity using Dynamic Time Warping (DTW). This method enables accurate matching of two pitching motions in many cases.

Original language	English
Title of host publication	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	104-108
Number of pages	5
ISBN (Electronic)	9781728198026
DOIs	https://doi.org/10.1109/GCCE50665.2020.9291730
Publication status	Published - 2020 Oct 13
Event	9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan Duration: 2020 Oct 13 → 2020 Oct 16

Publication series

Name	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference	9th IEEE Global Conference on Consumer Electronics, GCCE 2020
Country/Territory	Japan
City	Kobe
Period	20/10/13 → 20/10/16

Keywords

baseball
dynamic time warping
motion analysis
motion matching
video analysis

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Media Technology
Instrumentation
Computer Networks and Communications
Computer Vision and Pattern Recognition

Access to Document

10.1109/GCCE50665.2020.9291730

Cite this

Osawa, R., Ishikawa, T., & Watanabe, H. (2020). Pitching motion matching based on pose similarity using dynamic time warping. In 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 (pp. 104-108). Article 9291730 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE50665.2020.9291730

Pitching motion matching based on pose similarity using dynamic time warping. / Osawa, Ryohei; Ishikawa, Takaaki; Watanabe, Hiroshi.
2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 104-108 9291730 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Osawa, R, Ishikawa, T & Watanabe, H 2020, Pitching motion matching based on pose similarity using dynamic time warping. in 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020., 9291730, 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 104-108, 9th IEEE Global Conference on Consumer Electronics, GCCE 2020, Kobe, Japan, 20/10/13. https://doi.org/10.1109/GCCE50665.2020.9291730

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title = "Pitching motion matching based on pose similarity using dynamic time warping",

abstract = "By comparing multiple videos, it is possible to find the differences between the movements by different players or between motions of the same player in separate situations. To compare multiple motions, it is necessary to match the timing of the motions. However, it is difficult to synchronize the timing since the motion speed and usage of the body varying by player and situation. Therefore, in this paper, we propose a matching method for two pitching motions based on pose similarity using Dynamic Time Warping (DTW). This method enables accurate matching of two pitching motions in many cases. ",

keywords = "baseball, dynamic time warping, motion analysis, motion matching, video analysis",

author = "Ryohei Osawa and Takaaki Ishikawa and Hiroshi Watanabe",

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N2 - By comparing multiple videos, it is possible to find the differences between the movements by different players or between motions of the same player in separate situations. To compare multiple motions, it is necessary to match the timing of the motions. However, it is difficult to synchronize the timing since the motion speed and usage of the body varying by player and situation. Therefore, in this paper, we propose a matching method for two pitching motions based on pose similarity using Dynamic Time Warping (DTW). This method enables accurate matching of two pitching motions in many cases.

AB - By comparing multiple videos, it is possible to find the differences between the movements by different players or between motions of the same player in separate situations. To compare multiple motions, it is necessary to match the timing of the motions. However, it is difficult to synchronize the timing since the motion speed and usage of the body varying by player and situation. Therefore, in this paper, we propose a matching method for two pitching motions based on pose similarity using Dynamic Time Warping (DTW). This method enables accurate matching of two pitching motions in many cases.

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Pitching motion matching based on pose similarity using dynamic time warping

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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