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

Luo Dan, Jun Ohya

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number72520S
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume7252
DOIs
Publication statusPublished - 2009 Apr 7
EventIntelligent Robots and Computer Vision XXVI: Algorithms and Techniques - San Jose, CA, United States
Duration: 2009 Jan 192009 Jan 20

Keywords

  • Condensation algorithm
  • Dynamic camera image
  • Hand gesture extraction
  • Hand gesture recognition

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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