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 <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> 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 <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> has revealed an improvement of the overall lips contour detection.
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More From: IEEE Transactions on Circuits and Systems for Video Technology
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