A common framework for real-time emotion recognition and facial action unit detection

Tobias Gehrig, Hazim Kemal Ekenel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a common framework for realtime action unit detection and emotion recognition that we have developed for the emotion recognition and action unit detection sub-challenges of the FG 2011 Facial Expression Recognition and Analysis Challenge. For these tasks we employed a local appearance-based face representation approach using discrete cosine transform, which has been shown to be very effective and robust for face recognition. Using these features, we trained multiple one-versus-all support vector machine classifiers corresponding to the individual classes of the specific task. With this framework we achieve 24.2% and 7.6% absolute improvement over the overall baseline results on the emotion recognition and action unit detection sub-challenge, respectively.

Original languageEnglish (US)
Title of host publication2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
DOIs
StatePublished - 2011
Event2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 - Colorado Springs, CO, United States
Duration: Jun 20 2011Jun 25 2011

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Other

Other2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Country/TerritoryUnited States
CityColorado Springs, CO
Period6/20/116/25/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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