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Hough Forest-Based Facial Expression Recognition from Video Sequences

G. Fanelli, A.Yao, P.-L. Noel, J. Gall, L. Van Gool
International Workshop on Sign, Gesture and Activity (SGA) 2010, in conjunction with ECCV 2010
September 2010

Abstract

Automatic recognition of facial expression is a necessary step to- ward the design of more natural human-computer interaction systems. This work presents a user-independent approach for the recognition of facial expressions from image sequences. The faces are normalized in scale and rotation based on the eye centers' locations into tracks from which we extract features representing shape and motion. Classification and localization of the center of the expression in the video sequences are performed using a Hough transform voting method based on randomized forests. We tested our approach on two publicly available databases and achieved encouraging results comparable to the state of the art.


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@InProceedings{eth_biwi_00743,
  author = {G. Fanelli and A.Yao and P.-L. Noel and J. Gall and L. Van Gool},
  title = {Hough Forest-Based Facial Expression Recognition from Video Sequences},
  booktitle = {International Workshop on Sign, Gesture and Activity (SGA) 2010, in conjunction with ECCV 2010},
  year = {2010},
  month = {September},
  keywords = {Facial expression recognition, generalised Hough transform}
}