loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 2
Using occlusions to aid position estimation for visual motion capture
Kauai, Hawaii
December 08-December 14
ISBN: 0-7695-1272-0
ASCII Text
x 
 
Maurice Ringer, Tom Drummond, Joan Lasenby, "Using occlusions to aid position estimation for visual motion capture," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 464, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 2, 2001.
 
 
BibTex
x
 
@article{ 10.1109/CVPR.2001.990998,
author = {Maurice Ringer and Tom Drummond and Joan Lasenby},
title = {Using occlusions to aid position estimation for visual motion capture},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {2},
year = {2001},
issn = {1063-6919},
pages = {464},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990998},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Using occlusions to aid position estimation for visual motion capture
SN - 1063-6919
SP
EP
A1 - Maurice Ringer,
A1 - Tom Drummond,
A1 - Joan Lasenby,
PY - 2001
KW - null
VL - 2
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Maurice Ringer, Cambridge University
Tom Drummond, Cambridge University
Joan Lasenby, Cambridge University
A new method for estimating the pose of a person in a marker-based visual motion capture system is presented. In such systems, certain markers are not detected at each time frame due to occlusion by the subject. It is proposed to estimate the person?s pose subject to the constraint that non-detected markers remain occluded and that detected markers remain visible. In this paper, the complete posterior PDF for the person?s pose is developed using the constraints mentioned above, as is a least squares solution for determining its maximum. It is shown that the new technique is able to correctly estimate a variety of poses in which many marker occlusions occur and in which typical motion capture systems fail.
Citation:
Maurice Ringer, Tom Drummond, Joan Lasenby, "Using occlusions to aid position estimation for visual motion capture," cvpr, vol. 2, pp.464, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 2, 2001
Usage of this product signifies your acceptance of the Terms of Use.