Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm

Luo Dan*, Jun Ohya

*この研究の対応する著者

研究成果: Conference article査読

1 被引用数 (Scopus)

抄録

To achieve environments in which humans and mobile robots co-exist, technologies for recognizing hand gestures from the video sequence acquired by a dynamic camera could be useful for human-to-robot interface systems. Most of conventional hand gesture technologies deal with only still camera images. This paper proposes a very simple and stable method for extracting hand motion trajectories based on the Human-Following Local Coordinate System (HFLC System), which is obtained from the located human face and both hands. Then, we apply Condensation Algorithm to the extracted hand trajectories so that the hand motion is recognized. We demonstrate the effectiveness of the proposed method by conducting experiments on 35 kinds of sign language based hand gestures.

本文言語English
論文番号72520S
ジャーナルProceedings of SPIE - The International Society for Optical Engineering
7252
DOI
出版ステータスPublished - 2009 4 7
イベントIntelligent Robots and Computer Vision XXVI: Algorithms and Techniques - San Jose, CA, United States
継続期間: 2009 1 192009 1 20

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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