Lips Contour Detection and Tracking Using Watershed Region-Based Active Contour Model and Modified H∞
Document Type
Journal Article
Faculty
Faculty of Computing, Health and Science
School
School of Engineering / Centre for Communications Engineering Research
RAS ID
14733
Abstract
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.
DOI
10.1109/TCSVT.2011.2180771
Access Rights
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Comments
Chin, S., Seng, K., & Ang, L. K. (2012). Lips contour detection and tracking using watershed region-based active contour model and modifiedH∞. IEEE Transactions on Circuits and Systems for Video Technology, 22(6), 869-874. Available here