Kuo, Paul, Makris, Dimitrios and Nebel, Jean-Christophe (2011) Integration of bottom-up/top-down approaches for 2D pose estimation using probabilistic Gaussian modelling. Computer Vision and Image Understanding, 115(2), pp. 242-255. ISSN (print) 1077-3142
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Official URL: http://dx.doi.org/10.1016/j.cviu.2010.09.001
| Item Type: | Article |
|---|---|
| Additional Information: | This work was supported by Engineering and Physical Sciences Research Council (EPSRC) sponsored MEDUSA, and PROCESS projects (Grant No. EP/E001025/1 and EP/E033288 respectively) |
| Uncontrolled Keywords: | human body pose estimation, stochastic clustering, gaussian mixture modelling, pattern classification, object recognition, confidence measure, ground truth, nonlinear dimensionality reduction, human-body configurations, human motion capture, 3d human motion, tracking people, segmentation, framework, parts |
| Research Area: | Computer science and informatics |
| Faculty, School or Research Centre: | Faculty of Computing, Information Systems and Mathematics (until 2011) Faculty of Computing, Information Systems and Mathematics (until 2011) > Digital Imaging Research Centre (DIRC) |
| Depositing User: | Automatic Import Agent |
| Date Deposited: | 03 May 2011 14:28 |
| Last Modified: | 18 Nov 2011 16:42 |
| URI: | http://eprints.kingston.ac.uk/id/eprint/18469 |
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