Lip features automatic extraction

An algorithm for speaker's lip segmentation and features extraction is presented. A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity) color space. Second, a statistical approach using Markov random field modeling determines the red hue prevailing region and motion in a spatiotemporal neighborhood. Third, the final label field is used to extract ROI (region of interest) and geometrical features.