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Communication Dans Un Congrès Année : 1999

Automatic lip tracking: Bayesian segmentation and active contours in a cooperative scheme

Résumé

An algorithm for speaker's lip contour extraction is pre- sented in this paper. A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from RGB to HI (hue, intensity) color space. A bayesian approach segments the mouth area using Markov random field modelling. Motion is combined with red hue lip information into a spatiotemporal neighbourhood. Simultaneously, a Region Of Interest and relevant boundaries points are automatically extracted. Next, an active contour using spatially varying coefficients is initialised with the results of the preprocessing stage. Finally, an accurate lip shape with inner and outer borders is obtained with good quality results in this challenging situation.
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Dates et versions

hal-00961025 , version 1 (19-03-2014)

Identifiants

  • HAL Id : hal-00961025 , version 1

Citer

Marc Liévin, Patrice Delmas, Pierre-Yves Coulon, Franck Luthon, Vincent Fristot. Automatic lip tracking: Bayesian segmentation and active contours in a cooperative scheme. IEEE Int. Conf. on Multimedia Computing and Systems (ICMCS'99), Jun 1999, Firenze, Italy. pp.691-696. ⟨hal-00961025⟩
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