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

    Fingerprint

    End effectors
    Gesture
    robots
    Condensation
    condensation
    Camera
    Cameras
    cameras
    Trajectories
    trajectories
    Mobile robots
    Robots
    Trajectory
    conduction
    Sign Language
    Motion
    Mobile Robot
    Robot
    Experiments
    Face

    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

    Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm. / Dan, Luo; Ohya, Jun.

    Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7252 2009. 72520S.

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

    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, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, San Jose, CA, United States, 09/1/19. https://doi.org/10.1117/12.806108
    Dan L, Ohya J. 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. 2009. 72520S https://doi.org/10.1117/12.806108
    Dan, Luo ; Ohya, Jun. / Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7252 2009.
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