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Classification of Human Poses using a Vision based Technique |
Kelly, Dan; Olivo, Paolo; Markham, Charles; McDonald, John; Caulfield, Brian; Fitzgerald, Diarmuid
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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.
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Keyword(s):
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stereo image processing; computer vision; image classification; image reconstruction; image representation; principal component analysis |
Publication Date:
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2007 |
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Type:
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Book chapter |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Citation(s):
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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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Publisher(s):
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IEEE |
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File Format(s):
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other |
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Related Link(s):
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http://mural.maynoothuniversity.ie/8348/1/JM-Classification-2007.pdf |
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First Indexed:
2020-04-02 06:30:49 Last Updated:
2020-04-02 06:30:49 |
