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) |
|---|---|
| Country | Belgium |
| City | Brussels |
| Period | 11/09/2011 → 14/09/2011 |
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Cite this
Moutzouris, A., Martinez-Del-Rincon, J., Lewandowski, M., Nebel, J-C., & Makris, D. (2011). Human pose tracking in low dimensional space enhanced by limb correction. In Proceedings - International Conference on Image Processing, ICIP (pp. 2301-2304). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2011.6116100