Vision-based guitarist fingering tracking using a Bayesian classifier and particle filters

Chutisant Kerdvibulvech, Hideo Saito

研究成果: Conference contribution

11 引用 (Scopus)

抜粋

This paper presents a vision-based method for tracking guitar fingerings played by guitar players from stereo cameras. We propose a novel framework for colored finger markers tracking by integrating a Bayesian classifier into particle filters, with the advantages of performing automatic track initialization and recovering from tracking failures in a dynamic background. ARTag (Augmented Reality Tag) is utilized to calculate the projection matrix as an online process which allow guitar to be moved while playing. By using online adaptation of color probabilities, it is also able to cope with illumination changes.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ625-638
ページ数14
4872 LNCS
出版物ステータスPublished - 2007
イベント2nd IEEE Pacific Rim Symposium on Video and Image Technology, PSIVT 2007 - Santiago, Chile
継続期間: 2007 12 172007 12 19

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)
4872 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other2nd IEEE Pacific Rim Symposium on Video and Image Technology, PSIVT 2007
Chile
Santiago
期間07/12/1707/12/19

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

これを引用

Kerdvibulvech, C., & Saito, H. (2007). Vision-based guitarist fingering tracking using a Bayesian classifier and particle filters. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 4872 LNCS, pp. 625-638). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 4872 LNCS).