Vision-based detection of guitar players' fingertips without markers

Chutisant Kerdvibulvech, Hideo Saito

研究成果: Conference contribution

18 被引用数 (Scopus)

抄録

This paper proposes a vision-based method for detecting the positions of fingertips of a hand playing a guitar. We detect the skin color of a guitar player's hand by using on-line adaptation of color probabilities and a Bayesian classifier which can cope with considerable illumination changes and a dynamic background. The results of hand segmentation are used to train an artificial neural network. A set of Gabor filters is utilized to compute a lower-dimensional representation of the image. Then an LLM (Local-Linear- Mapping)-network is applied to map and estimate fingertip positions smoothly. The system enables us to visually detect the fingertips even when the fingertips are in front of skin-colored surfaces and/or when the fingers are not fully stretched out. Representative experimental results are also presented.

本文言語English
ホスト出版物のタイトルComputer Graphics, Imaging and Visualisation
ホスト出版物のサブタイトルNew Advances, CGIV 2007
ページ419-424
ページ数6
DOI
出版ステータスPublished - 2007 12 1
イベントComputer Graphics, Imaging and Visualisation: New Advances, CGIV 2007 - Bangkok, Thailand
継続期間: 2007 8 132007 8 16

出版物シリーズ

名前Computer Graphics, Imaging and Visualisation: New Advances, CGIV 2007

Other

OtherComputer Graphics, Imaging and Visualisation: New Advances, CGIV 2007
CountryThailand
CityBangkok
Period07/8/1307/8/16

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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