loading...
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
University of Southampton,UK April 10-April 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FGR.2006.69Seventh IEEE International Conference ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek, "Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 567-572, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/FGR.2006.69,
author = {Joachim Schmidt and Jannik Fritsch and Bogdan Kwolek},
title = {Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2503-2},
pages = {567-572},
doi = {http://doi.ieeecomputersociety.org/10.1109/FGR.2006.69},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
SN - 0-7695-2503-2
SP567
EP572
A1 - Joachim Schmidt,
A1 - Jannik Fritsch,
A1 - Bogdan Kwolek,
PY - 2006
KW - null
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
Joachim Schmidt, Bielefeld University, Germany
Jannik Fritsch, Bielefeld University, Germany
Bogdan Kwolek, Rzeszow University of Technology, Poland
This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color-based cues as well as an articulated 3D body model with shape represented by cylinders, a real-time body tracking in monocular cluttered image sequences has been realized. The algorithm runs at 7.5 Hz on a laptop computer and tracks the upper body of a human with two arms. First experimental results show that the proposed approach has good tracking as well as recovering capabilities despite using a small number of particles. The approach is intended for use on a mobile robot to improve human robot interaction.
Citation:
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek, "Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images," fg, pp.567-572, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.