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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3   p. 3182
Initialized Eigenlip Estimator for Fast Lip Tracking Using Linear Regression
Simon Lucey, Queensland University of Technology
Sridha Sridharan, Queensland University of Technology
Vinod Chandran, Queensland University of Technology

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903514
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Abstract
Multimodal speech processing in which visual facial features are jointly processed with audio features is a rapidly advancing field. Lip movements and configurations provide useful information to improve speech and speaker recognition. However, the use of this visual information requires accurate and fast lip tracking algorithms. A new technique is outlined that is able to estimate the outer lip contour directly from a given lip intensity image via linear regression. An active shape model that is able to track speaker's lips without requiring time-consuming iterative energy minimization techniques can improve this estimate. Results of performance are presented against known tracking algorithms using the M2VTS database.
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Citation:  Simon Lucey, Sridha Sridharan, Vinod Chandran, "Initialized Eigenlip Estimator for Fast Lip Tracking Using Linear Regression," icpr, p. 3182,  15th International Conference on Pattern Recognition (ICPR'00) - Volume 3,  2000