PROJECT TITLE :
Lips Contour Detection and Tracking Using Watershed Region-Based Active Contour Model and Modified
In this paper, a neighborhood-primarily based active contour model (ACM) with local information using watershed segmentation is proposed for lips contour detection. Compared to the ACM with global energy terms, the proposed system provides a more precise lips contour convergence beneath the circumstances where the lips are difficult to distinguish using world statistics. Furthermore, since the ACM is sensitive to the initial contour position, a modified $H_infty$ based on Lyapunov stability theory is proposed to produce higher tracking of the next lips feature points because the ACM initialization. The integration of the proposed ACM and changed $H_infty$ has revealed an improvement of the general lips contour detection.
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