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Kelly, Dan, Olivo, Paolo, Markham, Charles, McDonald, John, 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: | 10.1109/IMVIP.2007.25 |
| Depositing User: | John McDonald |
| Date Deposited: | 16 Jun 2017 14:06 |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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