Towards robust lip tracking
| Autor: | Nicolas Eveno, Marc Lievin, Patrice Delmas |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
business.industry
Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Initialization Pattern recognition Luminance Facial recognition system Robustness (computer science) Video tracking Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS Stiffness matrix Hue |
| Zdroj: | ICPR (2) |
| DOI: | 10.1109/icpr.2002.1048356 |
| Popis: | An algorithm for the automatic extraction of speakers lips in video sequences is presented. Our goal is to extract minimum face feature parameters, vital for audio-visual communication, in adverse conditions and at a very low bit rate coding. Our method uses spatial (region and contour) and temporal (similarity function) information from luminance and hue components. A new literal inverse of the active contours stiffness matrix is introduced. This ensures a fast and accurate convergence of active contours towards lip boundaries. The use of the Kanade-Lucas tracking algorithm with our point extraction method leads to an automatic, fast and robust initialization of Snakes. The significant robustness enhancement and related computational cost decrease allow processing approaching real time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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