TY - CONF T1 - The computer expression recognition toolbox (CERT) T2 - 2011 IEEE International Conference on Automatic Face Gesture Recognition and Workshops (FG 2011) Y1 - 2011 A1 - Littlewort, G. A1 - Whitehill, J. A1 - Wu, T. A1 - Fasel, I. A1 - Frank, M. A1 - Movellan, J. A1 - Bartlett, M. KW - 3D orientation KW - Accuracy KW - automatic real-time facial expression recognition KW - CERT KW - computer expression recognition toolbox KW - Detectors KW - dual core laptop KW - Emotion recognition KW - Encoding KW - extended Cohn-Kanade KW - Face KW - face recognition KW - facial action unit coding system KW - facial expression dataset KW - Facial features KW - FACS KW - Gold KW - Image coding KW - software tool KW - software tools KW - two-alternative forced choice task AB -

We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully automatic real-time facial expression recognition, and officially release it for free academic use. CERT can automatically code the intensity of 19 different facial actions from the Facial Action Unit Coding System (FACS) and 6 different prototypical facial expressions. It also estimates the locations of 10 facial features as well as the 3-D orientation (yaw, pitch, roll) of the head. On a database of posed facial expressions, Extended Cohn-Kanade (CK+[1]), CERT achieves an average recognition performance (probability of correctness on a two-alternative forced choice (2AFC) task between one positive and one negative example) of 90.1% when analyzing facial actions. On a spontaneous facial expression dataset, CERT achieves an accuracy of nearly 80%. In a standard dual core laptop, CERT can process 320 × 240 video images in real time at approximately 10 frames per second.

JF - 2011 IEEE International Conference on Automatic Face Gesture Recognition and Workshops (FG 2011) PB - IEEE CY - Santa Barbara, CA SN - 978-1-4244-9140-7 ER -