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Integrating Facial Expression and Body Gesture in Videos for Emotion Recognition
2014
IEICE transactions on information and systems
In this letter, we research the method of using face and gesture image sequences to deal with the video-based bimodal emotion recognition problem, in which both Harris plus cuboids spatio-temporal feature (HST) and sparse canonical correlation analysis (SCCA) fusion method are applied to this end. To efficaciously pick up the spatio-temporal features, we adopt the Harris 3D feature detector proposed by Laptev and Lindeberg to find the points from both face and gesture videos, and then apply the
doi:10.1587/transinf.e97.d.610
fatcat:wyn4hiwzejdyfdqimwbo5pdr34