Representing cyclic human motion using functional analysis
2005
Article
ps
We present a robust automatic method for modeling cyclic 3D human motion such as walking using motion-capture data. The pose of the body is represented by a time-series of joint angles which are automatically segmented into a sequence of motion cycles. The mean and the principal components of these cycles are computed using a new algorithm that enforces smooth transitions between the cycles by operating in the Fourier domain. Key to this method is its ability to automatically deal with noise and missing data. A learned walking model is then exploited for Bayesian tracking of 3D human motion.
Author(s): | Ormoneit, D. and Black, M. J. and Hastie, T. and Kjellström, H. |
Journal: | Image and Vision Computing |
Volume: | 23 |
Number (issue): | 14 |
Pages: | 1264--1276 |
Year: | 2005 |
Month: | December |
Department(s): | Perceiving Systems |
Bibtex Type: | Article (article) |
Paper Type: | Journal |
DOI: | 10.1016/j.imavis.2005.09.004 |
Links: |
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BibTex @article{Ormoneit:IVC:2005, title = {Representing cyclic human motion using functional analysis}, author = {Ormoneit, D. and Black, M. J. and Hastie, T. and Kjellstr{\"o}m, H.}, journal = {Image and Vision Computing}, volume = {23}, number = {14}, pages = {1264--1276}, month = dec, year = {2005}, doi = {10.1016/j.imavis.2005.09.004}, month_numeric = {12} } |