Fully automatic facial action recognition in spontaneous behavior

被引：137
|
作者：
Bartlett, Marian Stewart [1 ]
Littlewort, Gwen [1 ]
Frank, Mark [2 ]
Lainscsek, Claudia [1 ]
Fasel, Ian [1 ]
Movellan, Javier [1 ]
机构：
[1] Univ Calif San Diego, Inst Neural Computat, La Jolla, CA 92093 USA
[2] SUNY Buffalo, Buffalo, NY USA
来源：
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION - PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE | 2006年
关键词：
D O I：
10.1109/fgr.2006.55
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：223 / +
页数：2
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