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    Classification of Human Poses using a Vision based Technique


    Kelly, Dan and Olivo, Paolo and Markham, Charles and McDonald, John and Caulfield, Brian and Fitzgerald, Diarmuid (2007) Classification of Human Poses using a Vision based Technique. In: IMVIP 2007. International Machine Vision and Image Processing Conference, 2007. IEEE, p. 209. ISBN 0769528872

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    Abstract

    This paper presents work being carried out to estimate human pose using vision based methods. The data acquisition system uses an active marker technique synchronized with a three camera stereo vision system. The locations of the markers are then used to reconstruct a skeleton representation of the human pose. PCA and clustering techniques are used to classify the pose.

    Item Type: Book Section
    Keywords: stereo image processing; computer vision; image classification; image reconstruction; image representation; principal component analysis;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8348
    Identification Number: https://doi.org/10.1109/IMVIP.2007.25
    Depositing User: John McDonald
    Date Deposited: 16 Jun 2017 14:06
    Publisher: IEEE
    Refereed: Yes
    URI:

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