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  1. 研究報告
  2. 数理モデル化と問題解決(MPS)
  3. 2018
  4. 2018-MPS-119

Frequency-based Skill Analysis for Motion Pictures

https://ipsj.ixsq.nii.ac.jp/records/190476
https://ipsj.ixsq.nii.ac.jp/records/190476
f24a3d80-0bbc-483e-9d46-86bd4e4775b3
名前 / ファイル ライセンス アクション
IPSJ-MPS18119006.pdf IPSJ-MPS18119006.pdf (1.4 MB)
Copyright (c) 2018 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2018-07-23
タイトル
タイトル Frequency-based Skill Analysis for Motion Pictures
タイトル
言語 en
タイトル Frequency-based Skill Analysis for Motion Pictures
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Presently with Faculty of Management Information, Hannan University
著者所属
Faculty of Economics, Meikai University
著者所属
Faculty of Intelligence and Informatics, Konan University
著者所属(英)
en
Presently with Faculty of Management Information, Hannan University
著者所属(英)
en
Faculty of Economics, Meikai University
著者所属(英)
en
Faculty of Intelligence and Informatics, Konan University
著者名 Toshiyuki, Maeda

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Toshiyuki, Maeda

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Masumi, Yajima

× Masumi, Yajima

Masumi, Yajima

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Akiyoshi, Wakatani

× Akiyoshi, Wakatani

Akiyoshi, Wakatani

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著者名(英) Toshiyuki, Maeda

× Toshiyuki, Maeda

en Toshiyuki, Maeda

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Masumi, Yajima

× Masumi, Yajima

en Masumi, Yajima

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Akiyoshi, Wakatani

× Akiyoshi, Wakatani

en Akiyoshi, Wakatani

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論文抄録
内容記述タイプ Other
内容記述 This paper addresses sports skill analysis using motion pictures, focused on volleyball. In this paper, volleyball play is analyzed with motion picture data recorded by hi-speed cam-coder, where we do not use physical information such as body skeleton model, and so on. Time series data are obtained from the motion picture data with marking points, and analyzed in terms of motion frequency using Mel-frequency cepstral coefficients (MFCCs) as well as Fast Fourier Transform (FFT). We examin to classify individual skills of volleyball attacks.
論文抄録(英)
内容記述タイプ Other
内容記述 This paper addresses sports skill analysis using motion pictures, focused on volleyball. In this paper, volleyball play is analyzed with motion picture data recorded by hi-speed cam-coder, where we do not use physical information such as body skeleton model, and so on. Time series data are obtained from the motion picture data with marking points, and analyzed in terms of motion frequency using Mel-frequency cepstral coefficients (MFCCs) as well as Fast Fourier Transform (FFT). We examin to classify individual skills of volleyball attacks.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN10505667
書誌情報 研究報告数理モデル化と問題解決(MPS)

巻 2018-MPS-119, 号 6, p. 1-4, 発行日 2018-07-23
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8833
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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