Tracking the guitarist’s fingers as well as recognizing pressed chords from a video sequence

Zhao Wang, Jun Ohya

    研究成果: Conference article査読

    2 被引用数 (Scopus)

    抄録

    Towards the actualization of an autonomous guitar teaching system, this paper proposes the following two video analysis based methods: (1) pressed chord recognition and (2) fingertip tracking. For (1), an algorithm that can extract finger contours and chord changes is proposed so that the chords pressed by the guitar player are recognized. For (2), an algorithm that can track the fingertips by continuously monitoring the appearance and disappearance of the regions of fingertip candidates is proposed. Experimental results demonstrate that the proposed two modules are robust enough under complex contexts such as complicated background and different illumination conditions. Promising results were obtained for accurate tracking of fingertips and for accurate recognition of pressed chords.

    本文言語English
    ジャーナルIS and T International Symposium on Electronic Imaging Science and Technology
    Part F129943
    DOI
    出版ステータスPublished - 2016 1 1
    イベントImage Processing: Algorithms and Systems XIV 2016 - San Francisco, United States
    継続期間: 2016 2 142016 2 18

    ASJC Scopus subject areas

    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • コンピュータ サイエンスの応用
    • 人間とコンピュータの相互作用
    • ソフトウェア
    • 電子工学および電気工学
    • 原子分子物理学および光学

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