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

Luo Dan, Jun Ohya

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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
    Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
    Volume7252
    DOIs
    Publication statusPublished - 2009
    EventIntelligent Robots and Computer Vision XXVI: Algorithms and Techniques - San Jose, CA, United States
    Duration: 2009 Jan 192009 Jan 20

    Other

    OtherIntelligent Robots and Computer Vision XXVI: Algorithms and Techniques
    CountryUnited States
    CitySan Jose, CA
    Period09/1/1909/1/20

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    Keywords

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

    ASJC Scopus subject areas

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

    Cite this

    Dan, L., & Ohya, J. (2009). Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7252). [72520S] https://doi.org/10.1117/12.806108