| Autor: |
Horaud, Radu, Niskanen, Matti, Dewaele, Guillaume, Boyer, Edmond |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1) 2009 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1109/TPAMI.2008.108 |
| Popis: |
We address the problem of human motion tracking by registering a surface to 3-D data. We propose a method that iteratively computes two things: Maximum likelihood estimates for both the kinematic and free-motion parameters of a kinematic human-body representation, as well as probabilities that the data are assigned either to a body part, or to an outlier cluster. We introduce a new metric between observed points and normals on one side, and a parameterized surface on the other side, the latter being defined as a blending over a set of ellipsoids. We claim that this metric is well suited when one deals with either visual-hull or visual-shape observations. We illustrate the method by tracking human motions using sparse visual-shape data (3-D surface points and normals) gathered from imperfect silhouettes. |
| Databáze: |
arXiv |
| Externí odkaz: |
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