Statistical Chromaticity Models for Lip Tracking with B-splines
نویسندگان
چکیده
A method for lip tracking intended to support personal verification is presented in this paper. Lip contours are represented by means of quadratic Bsplines. The lips are automatically localised in the original image and an elliptic B-spline is generated to start up tracking. Lip localisation exploits grey-level gradient projections as well as chromaticity models to find the lips in an automatically segmented region corresponding to the face area. Tracking proceeds by estimating new lip contour positions according to a statistical chromaticity model for the lips. The current tracker implementation follows a deterministic second order model for the spline motion based on a Lagrangian formulation of contour dynamics. The method has been tested on the M2VTS database[1]. Lips were accurately tracked on sequences consisting of more than hundred frames. localisation
منابع مشابه
Statistical chromaticity-based lip tracking with B-splines
We present a statistical, colour-based technique for lip tracking intended to support personal veri cation. The lips are automatically localised in the original image by exploiting grey-level gradient projections as well as chromaticity models to nd the mouth area in an automatically segmented region corresponding to the face area. A B-spline, initially with an elliptic shape is then generated ...
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