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IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2
Bayesian Pixel Classification for Human Tracking
Breckenridge, Colorado
January 05-January 07
ISBN: 0-7695-2271-8
ASCII Text
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Daniel Roth, Petr Doubek, Luc Van Gool, "Bayesian Pixel Classification for Human Tracking," Applications of Computer Vision and the IEEE Workshop on Motion and Video Computing, IEEE Workshop on, vol. 2, pp. 78-83, IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2, 2005.
 
 
BibTex
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@article{ 10.1109/ACVMOT.2005.34,
author = {Daniel Roth and Petr Doubek and Luc Van Gool},
title = {Bayesian Pixel Classification for Human Tracking},
journal ={Applications of Computer Vision and the IEEE Workshop on Motion and Video Computing, IEEE Workshop on},
volume = {2},
year = {2005},
isbn = {0-7695-2271-8},
pages = {78-83},
doi = {http://doi.ieeecomputersociety.org/10.1109/ACVMOT.2005.34},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applications of Computer Vision and the IEEE Workshop on Motion and Video Computing, IEEE Workshop on
TI - Bayesian Pixel Classification for Human Tracking
SN - 0-7695-2271-8
SP78
EP83
A1 - Daniel Roth,
A1 - Petr Doubek,
A1 - Luc Van Gool,
PY - 2005
KW - null
VL - 2
JA - Applications of Computer Vision and the IEEE Workshop on Motion and Video Computing, IEEE Workshop on
ER -
 
Daniel Roth, ETH Z?rich, Switzerland
Petr Doubek, ETH Z?rich, Switzerland
Luc Van Gool, ETH Z?rich, Switzerland
We present a monocular object tracker, able to detect and track multiple objects in non-controlled environments. Bayesian per-pixel classification is used to build a tracking framework that segments an image into foreground and background objects, based on observations of object appearances and motions. Gaussian mixtures are used to build the color appearance models. The system adapts to changing lighting conditions, handles occlusions, and works in real-time.
Citation:
Daniel Roth, Petr Doubek, Luc Van Gool, "Bayesian Pixel Classification for Human Tracking," wacv-motion, vol. 2, pp.78-83, IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2, 2005
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