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Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06)
Fully Automatic Facial Action Recognition in Spontaneous Behavior
University of Southampton,UK
April 10-April 12
ISBN: 0-7695-2503-2
ASCII Text
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Marian Stewart Bartlett, Gwen Littlewort, Mark Frank, Claudia Lainscsek1, Ian Fasel, Javier Movellan, "Fully Automatic Facial Action Recognition in Spontaneous Behavior," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 223-230, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006.
 
 
BibTex
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@article{ 10.1109/FGR.2006.55,
author = {Marian Stewart Bartlett and Gwen Littlewort and Mark Frank and Claudia Lainscsek1 and Ian Fasel and Javier Movellan},
title = {Fully Automatic Facial Action Recognition in Spontaneous Behavior},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2503-2},
pages = {223-230},
doi = {http://doi.ieeecomputersociety.org/10.1109/FGR.2006.55},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Fully Automatic Facial Action Recognition in Spontaneous Behavior
SN - 0-7695-2503-2
SP223
EP230
A1 - Marian Stewart Bartlett,
A1 - Gwen Littlewort,
A1 - Mark Frank,
A1 - Claudia Lainscsek1,
A1 - Ian Fasel,
A1 - Javier Movellan,
PY - 2006
KW - null
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
Marian Stewart Bartlett, University of California, San Diego
Gwen Littlewort, University of California, San Diego
Mark Frank, SUNY Buffalo
Claudia Lainscsek1, University of California, San Diego
Ian Fasel, University of California, San Diego
Javier Movellan, University of California, San Diego
We present results on a user independent fully automatic system for real time recognition of facial actions from the Facial Action Coding System (FACS). The system automatically detects frontal faces in the video stream and codes each frame with respect to 20 Action units. We present preliminary results on a task of facial action detection in spontaneous expressions during discourse. Support vector machines and AdaBoost classifiers are compared. For both classifiers, the output margin predicts action unit intensity.
Citation:
Marian Stewart Bartlett, Gwen Littlewort, Mark Frank, Claudia Lainscsek1, Ian Fasel, Javier Movellan, "Fully Automatic Facial Action Recognition in Spontaneous Behavior," fg, pp.223-230, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006
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