Hand detection in consideration of the frame-out of hand for first person viewpoint sign language recognition

• Shibata Yusuke

  Kyushu Institute of Technology

• Orii Hideaki

  Kyushu Institute of Technology

• Kawano Hideaki

  Kyushu Institute of Technology

• Maeda Hiroshi

  Kyushu Institute of Technology

Bibliographic Information

Other Title

• 一人称視点手話認識のための手のフレームアウトを考慮した手領域判別

Abstract

A main of this study is to develop a sign language recognition system in a first person view framework for a smooth communication tool between a hearing-impaired person and a normal hearer. As an intrinsic issue in the first person view framework, it is required to deal with frame-out of hands arising from a closeness between a camera and hands. A detection of frame-outs by skin color extraction methods, which are commonly used as a hand detection, doesn’t work well. This is because it is difficult to discriminate a hiding of hand due to another hand from a frame-out of one hand. That is why it is required to develop a method to distinguish those. In this paper, a method to distinguish the hand hiding from the hand frame-out is proposed, and then some experimental results are demonstrated.

Journal

• Proceedings of the Fuzzy System Symposium

  Proceedings of the Fuzzy System Symposium 29 (0), 78-78, 2013

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• sign languare recognition
• first person viewpoint
• hand domain distinction
• frame-out

Details

• CRID: 1390001205671892736
• NII Article ID: 130005480483
• DOI: 10.14864/fss.29.0_78
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed