Lips Contour Detection and Tracking Using Watershed Region-Based Active Contour Model and Modified H∞
Faculty of Computing, Health and Science
School of Engineering / Centre for Communications Engineering Research
In this paper, a region-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 under the circumstances where the lips are difficult to distinguish using global statistics. Furthermore, since the ACM is sensitive to the initial contour position, a modified H∞ based on Lyapunov stability theory is proposed to provide better tracking of the subsequent lips feature points as the ACM initialization. The integration of the proposed ACM and modified H∞ has revealed an improvement of the overall lips contour detection.