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:	http://ieeexplore.ieee.org
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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