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Research of Support Technology for Team Play Sports

Research Project

Project/Area Number 17500059
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Media informatics/Database
Research InstitutionThe University of Electro-Communications

Principal Investigator

ONAI Rikio  The University of Electro-Communications, Faculty of Electro-Communications, Professor, 電気通信学部, 教授 (70323871)

Co-Investigator(Kenkyū-buntansha) TAKEUCHI Ikuo  The University of Tokyo, Graduate School of Information Science and Technology, Professor, 大学院情報理工学系研究科, 教授 (90293109)
TADA Yoshikatu  The University of Electro-Communications, Graduate School of Information Systems, Professor, 大学院情報システム学研究科, 教授 (30179709)
KOIKE Hideki  The University of Electro-Communications, Graduate School of Information Systems, Professor, 大学院情報システム学研究科, 教授 (70234664)
INAMI Masahiko  The University of Electro-Communications, Faculty of Electro-Communications, Professor, 電気通信学部, 教授 (00345117)
HAYASHI Takahiro  The University of Electro-Communications, Faculty of Electro-Communications, Assistant, 電気通信学部, 助手 (60342490)
Project Period (FY) 2005 – 2006
Project Status Completed (Fiscal Year 2006)
Budget Amount *help
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 2006: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2005: ¥1,700,000 (Direct Cost: ¥1,700,000)
KeywordsInformation Systems / Image Analysis / ソフトウェア工学 / ディレクトリ・情報検索
Research Abstract

To use the image and data effectively acquired by the image sensor developed for the team play sports image analysis, we developed the new image interface using past-images with spherical vision system. The past images were taken using the omnidirectional camera installed in the movable body. We can get virtual viewpoint from the third party by drawing the model of the movable body on the past image. It was confirmed that we can analyze the omnidirectional image based on the player's action even if the complex action of many objects like team play sports.
As research for classification of team play sports images, we researched a novel object extraction from 2D vector images. We have proposed a novel object extraction method using merits of vector images. The proposed method analyzes relations between individual primitives of vector images and the regions defined by these primitives. According to the analysis, a set of primitives defining object region is detected. We have compared accuracy and speed performance between the proposed method and ACM(Active Contour Model), which is a traditional raster-based object extraction method. Experimental results have shown that the proposed method has higher accuracy and speed performance than ACM.
The element technology of comparing standard data base with player' s action was researched by using the markers and the acceleration sensors to support the practice of specific actions in sports. We, tried to develop more adequate grading system by adding the acceleration sensor to the grading system of action only of markers in this research. The effect of the introduction of the acceleration sensors was confirmed by the evaluation experiment.

Report

(3 results)
  • 2006 Annual Research Report   Final Research Report Summary
  • 2005 Annual Research Report
  • Research Products

    (9 results)

All 2007 2006 2005

All Journal Article (9 results)

  • [Journal Article] ベクタ画像を対象としたプリミティブ選択モデルに基づくオブジェクト領域抽出2007

    • Author(s)
      林貴宏, 尾内理紀夫
    • Journal Title

      情報処理学会論文誌 Vol.48,No.3

      Pages: 1154-1165

    • NAID

      110006223854

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] Object Extraction for Vector Images with Primitive Selection Model2007

    • Author(s)
      Takahiro Hayashi, Rikio Onai
    • Journal Title

      Journal of Information Processing Society of Japan Vol.48, No.3

      Pages: 1154-1165

    • NAID

      110006223854

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] 振りの練習システムへの加速度センサの導入効果2007

    • Author(s)
      片平翔, 林貴宏, 尾内理紀夫
    • Journal Title

      情報処理学会第48回プログラミング・シンポジウム報告集 1月

      Pages: 161-171

    • Related Report
      2006 Annual Research Report
  • [Journal Article] べクタ画像を対象としたプリミティブ選択モデルに基づくオブジェクト領域抽出2007

    • Author(s)
      林貴宏, 尾内理紀夫
    • Journal Title

      情報処理学会論文誌 Vol.48,No.3

      Pages: 1154-1165

    • Related Report
      2006 Annual Research Report
  • [Journal Article] 全方位カメラの実写履歴画像を用いた遠隔操作インタフェースの開発,2006

    • Author(s)
      呉世淑, 森泰樹, 関口大陸, 小島稔, 清水紀芳, 杉本麻樹, 桑島茂純, 稲見昌彦, 松野文俊
    • Journal Title

      日本バーチャルリアリティ学会第11回大会論文集 CD-ROM

    • Related Report
      2006 Annual Research Report
  • [Journal Article] Figure-Ground Separation for Vector Graphics with Contour Detection2006

    • Author(s)
      T.Hayashi, K.Shibata, R.Onai, K.Abe
    • Journal Title

      Proceedings of the 1Oth IASTED International Conference on Internet and Multimedia Systems and Applications 8月

      Pages: 192-197

    • Related Report
      2006 Annual Research Report
  • [Journal Article] セミリフレクション機能を持ったエージェントの開発2006

    • Author(s)
      山崎泰行, 竹内郁雄
    • Journal Title

      情報処理学会 ゲーム情報学研究会 Vol.2006, No.23

      Pages: 33-40

    • NAID

      110004683805

    • Related Report
      2005 Annual Research Report
  • [Journal Article] Motion SPHERE:全方位カメラを用いたインタラクティブな視覚インタフェース2005

    • Author(s)
      稲見昌彦, 森泰樹, 関口大陸, 桑島茂純, 宮内竜, 松野文俊
    • Journal Title

      日本バーチャルリアリティ学会第10回大会論文集 CD-ROM, 2005

    • Related Report
      2005 Annual Research Report
  • [Journal Article] MotionSPHERE2005

    • Author(s)
      Hiroki Mori, Masahiko Inami, Fumitoshi Matsuno, Ryu Miyauchi, Hideaki Nii, Maki Sugimoto, Shigesumi Kuwashima
    • Journal Title

      ACM SIGGRAPH 2005 Conference Abstracts and Applications CD-ROM,2005.8

    • Related Report
      2005 Annual Research Report

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Published: 2005-04-01   Modified: 2016-04-21  

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