Action Unit Detection
In this task the goal is to detect the presence or absence of individual FACS action units (AU).
AU Detection on the Bosphorus database
Benchmarking Protocol for AU Coding
There are three protocols to evaluate automatic AU detection and intensity estimation performances. High intensity AU detection (C, D and E level), low intensity AU detection (testing with B level) and AU intensity estimation (A to E levels).
For each protocol and for each AU, subject independent 10-fold cross validation is made. Folds are balanced according to the number of positive AU samples. Cross validation folds for 25 AUs over a dataset of 2902 faces are provided.
Performance evaluation: The detection performance of an AU is measured in terms of AuC: the area under the ROC curve (hit versus false alarm rate), calculated over the combination of 10 test folds for more accurate estimation with small number of positive samples. The intensity estimation is evaluated in terms of the correlation coefficient between the scores of the FACS expert and the score of the estimator.
| Author | Title | Source |
|---|---|---|
A. Savran, B. Sankur, M. T. Bilge |
Facial action unit detection: 3D versus 2D modality | IEEE CVPR'10 Workshop on Human Communicative Behavior Analysis, San Francisco, California, USA, June 2010. |
AU detection on the Extended Cohn-Kanade (CK+) database
The evaluation protocol for CK+ is described in Lucey et al.
| Author | Title | Source |
|---|---|---|
P. Lucey, J.F. Cohn, T. Kanade, J. Saragih, and Z. Ambadar |
The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression | In Proceedings of the 3rd IEEE Workshop on CVPR for Human Communicative Behavior Analysis (CVPR4HB), CVPR 2010, 2010. |
| Author | Title | Source |
|---|---|---|
Michel F. Valstar, Bihan Jiang, Marc Méhu, Maja Pantic, and Klaus Scherer |
The First Facial Expression Recognition and Analysis Challenge | In Proc. IEEE Int’l Conf. Automatic Face and Gesture Recognition, 2011. |