Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), Santa Barbara, CA, USA, 21-25 March 2011; 01/2011
Affective Computing and Intelligent Interaction - Fourth International Conference, ACII 2011, Memphis, TN, USA, October 9-12, 2011, Proceedings, Part II; 01/2011
Affective Computing and Intelligent Interaction - 4th International Conference, ACII 2011, Memphis, TN, USA, October 9-12, 2011, Proceedings, Part I; 01/2011
ABSTRACT: Emotional body language constitutes an important channel of non-verbal information. Of this large set, hand-over-face gestures
are treated as noise because they occlude facial expressions. In this paper, we propose an alternative facial processing framework
where face occlusions instead of being removed, are detected, localized and eventually classified into communicative gestures.
We present a video corpus of hand-over-face gestures and describe a multi-stage methodology for detecting and localizing these
gestures. For pre-processing, we show that force fields form a better representation of images compared to edge detectors.
For feature extraction, detection and localization, we show that Local Binary Patterns outperform Gabor filters in accuracy
and speed. Our methodology yields an average detection rate of 97%, is robust to changes in facial expressions, hand shapes,
and limited head motion, and preliminary testing with spontaneous videos suggests that it may generalize successfully to naturally
07/2009: pages 481-490;