論文

査読有り
2003年11月

濃淡値の時系列変化を利用した画像からの手振りの検出

日本ロボット学会誌
  • 入江耕太
  • ,
  • 梅田和昇

21
8
開始ページ
923
終了ページ
931
記述言語
日本語
掲載種別
研究論文(学術雑誌)
DOI
10.7210/jrsj.21.923
出版者・発行元
The Robotics Society of Japan

This paper proposes a method of detecting waving hands from images as a key technology for man-machine interface. FFT is applied to time series of intensity images. The images are converted to low-resolution ones, and FFT is applied to each pixel of the low-resolution images. The proposed method is robust to lighting condition and individual difference of skin color, because it doesn't use color information at all. Experiments show the stability and robustness of the proposed method. Additionally, the method is applied to an omnidirectional vision images and an infrared camera, so as to show the wide applicability of the method.

リンク情報
DOI
https://doi.org/10.7210/jrsj.21.923
CiNii Articles
http://ci.nii.ac.jp/naid/10012538538
CiNii Books
http://ci.nii.ac.jp/ncid/AN00141189
URL
http://id.ndl.go.jp/bib/6764898
URL
https://jlc.jst.go.jp/DN/JALC/00234109463?from=CiNii
ID情報
  • DOI : 10.7210/jrsj.21.923
  • ISSN : 0289-1824
  • CiNii Articles ID : 10012538538
  • CiNii Books ID : AN00141189

エクスポート
BibTeX RIS