by Rosenhahn, B, Kersting, UG, Smith, AW, Gurney, JK, Brox, T and Klette, R
Abstract:
In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a correspondence module, which relates image data to model data and a pose estimation module. Experiments are done in a four camera setup and we estimate the model components with 21 degrees of freedom in two frames per second. Finally, we perform a comparison of the motion estimation system with a marker based tracking system to perform a quantitative error analysis. The results show the applicability of the system for marker-less sports movement analysis. © Springer-Verlag Berlin Heidelberg 2005.
Reference:
A system for marker-less human motion estimation (Rosenhahn, B, Kersting, UG, Smith, AW, Gurney, JK, Brox, T and Klette, R), In Lecture Notes in Computer Science, volume 3663, 2005.
Bibtex Entry:
@inproceedings{rosenhahn2005aestimation,
author = "Rosenhahn, B and Kersting, UG and Smith, AW and Gurney, JK and Brox, T and Klette, R",
booktitle = "Lecture Notes in Computer Science",
pages = "230--237",
title = "A system for marker-less human motion estimation",
volume = "3663",
year = "2005",
abstract = "In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a correspondence module, which relates image data to model data and a pose estimation module. Experiments are done in a four camera setup and we estimate the model components with 21 degrees of freedom in two frames per second. Finally, we perform a comparison of the motion estimation system with a marker based tracking system to perform a quantitative error analysis. The results show the applicability of the system for marker-less sports movement analysis. © Springer-Verlag Berlin Heidelberg 2005.",
issn = "0302-9743",
language = "eng",
}