Abstract
This paper proposes a two-level 3D human pose tracking method for a specific action captured by several cameras. The generation of pose estimates relies on fitting a 3D articulated model on a Visual Hull generated from the input images. First, an initial pose estimate is constrained by a low dimensional manifold learnt by Temporal Laplacian Eigenmaps. Then, an improved global pose is calculated by refining individual limb poses. The validation of our method uses a public standard dataset and demonstrates its accurate and computational efficiency.
Original language | English |
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Title of host publication | Proceedings - International Conference on Image Processing, ICIP |
Place of Publication | NEW YORK |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 2301-2304 |
Number of pages | 4 |
ISBN (Print) | 978-1-4577-1303-3 |
DOIs | |
Publication status | Published - 2011 |
Event | 18th IEEE International Conference on Image Processing (ICIP) - Brussels, Belgium Duration: 11 Sep 2011 → 14 Sep 2011 |
Conference
Conference | 18th IEEE International Conference on Image Processing (ICIP) |
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Country/Territory | Belgium |
City | Brussels |
Period | 11/09/2011 → 14/09/2011 |