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Published in:
2006 | OriginalPaper | Chapter
Lip Detection Using Confidence-Based Adaptive Thresholding
Authors : Jin Young Kim, Seung You Na, Ronald Cole
Published in: Advances in Visual Computing
Publisher: Springer Berlin Heidelberg
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In this paper we propose a lip detector based on adaptive thresholding for hue-transformed face images. The adaptation is performed according to the confidence values of the estimated lip regions. The confidence of lip means how much similarity exists between the detected lip region and a true lip. We construct simple fuzzy rules of the confidence using true lip statistics of center position, width and height. The threshold value is adaptively changed so that the confidence of a renewed lip region is maximized. By lip detection experiments with VidTimit database we demonstrate the performance enhancement of our proposed method.