Paper Info
Title
Fully Automatic Facial Action Recognition in Spontaneous Behavior
Abstract
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.
Year
DOI
Venue
2006
10.1109/FGR.2006.55
Southampton
Keywords
Field
DocType
facial action detection,action unit,output margin,facial action,present result,spontaneous behavior,adaboost classifier,automatic system,action unit intensity,facial action coding system,detects frontal face,automatic facial action recognition,face recognition,real time,real time systems,face detection,support vector machine,support vector machines
Facial recognition system,Facial Action Coding System,AdaBoost,Expression (mathematics),Pattern recognition,Emotion recognition,Computer science,Support vector machine,Action recognition,Artificial intelligence,Face detection
Conference
ISBN
Citations 
PageRank 
0-7695-2503-2
131
7.73
References 
Authors
8
6
Search Limit
100131
Name
Order
Citations
PageRank
Marian Stewart Bartlett12026183.92
gwen littlewort2115967.40
Mark Frank337520.14
Claudia Lainscsek1434722.77
Ian Fasel543131.58
Javier R. Movellan628118.37