Strategy diagram for identifying play strategies in multi-view soccer video data

Yukihiro Nakamura, Shin Ando, Kenji Aoki, Hiroyuki Mano, Einoshin Suzuki

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

In this paper, we propose a strategy diagram to acquire knowledge of soccer for identifying play strategies in multi-view video data. Soccer, as the most popular team sport in the world, attracts attention of researchers in knowledge discovery and data mining and its related areas. Domain knowledge is mandatory in such applications but acquiring domain knowledge of soccer from experts is a laborious task. Moreover such domain knowledge is typically acquired and used in an ad-hoc manner. Diagrams in textbooks can be considered as a promising source of knowledge and are intuitive to humans. Our strategy diagram enables a systematic acquisition and use of such diagrams as domain knowledge for identifying play strategies in video data of a soccer game taken from multiple angles. The key idea is to transform multi-view video data to sequential coordinates then match the strategy diagram in terms of essential features. Experiments using video data of a national tournament for high school students show that the proposed method exhibits promising results and gives insightful lessons for further studies.

本文言語英語
ホスト出版物のタイトルDiscovery Science - 9th International Conference, DS 2006, Proceedings
出版社Springer Verlag
ページ173-184
ページ数12
ISBN(印刷版)3540464913, 9783540464914
DOI
出版ステータス出版済み - 2006
イベント9th International Conference on Discovery Science, DS 2006 - Barcelona, スペイン
継続期間: 10月 7 200610月 10 2006

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4265 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他9th International Conference on Discovery Science, DS 2006
国/地域スペイン
CityBarcelona
Period10/7/0610/10/06

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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