A Common Framework for Real-Time Emotion Recognition and Facial Action Unit Detection
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.
Cite
Text
Gehrig and Ekenel. "A Common Framework for Real-Time Emotion Recognition and Facial Action Unit Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981817Markdown
[Gehrig and Ekenel. "A Common Framework for Real-Time Emotion Recognition and Facial Action Unit Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/gehrig2011cvprw-common/) doi:10.1109/CVPRW.2011.5981817BibTeX
@inproceedings{gehrig2011cvprw-common,
title = {{A Common Framework for Real-Time Emotion Recognition and Facial Action Unit Detection}},
author = {Gehrig, Tobias and Ekenel, Hazim Kemal},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2011},
pages = {1-6},
doi = {10.1109/CVPRW.2011.5981817},
url = {https://mlanthology.org/cvprw/2011/gehrig2011cvprw-common/}
}