Open or Closed Mouth State Detection: Static Supervised Classification Based on Log-polar Signature
| Autor: | P.-Y. Coulon, Alice Caplier, Christian Bouvier, Alexandre Benoit |
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| Přispěvatelé: | Bouvier, Christian, GIPSA - Géométrie, Perception, Images, Geste (GIPSA-GPIG), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS) |
| Předmět: |
Computer science
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Feature vector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Binary number 02 engineering and technology Dimension (vector space) [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0202 electrical engineering electronic engineering information engineering Segmentation [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing business.industry log-polar signature 020206 networking & telecommunications Pattern recognition Signature (logic) ComputingMethodologies_PATTERNRECOGNITION Face Analysis classification Computer Science::Sound Face (geometry) Computer Science::Computer Vision and Pattern Recognition Principal component analysis Human visual system model 020201 artificial intelligence & image processing Artificial intelligence business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Open or closed mouth state detection |
| Zdroj: | HAL ACIVS 2008-International Conference on Advanced Concepts for Intelligent Vision Systems ACIVS 2008-International Conference on Advanced Concepts for Intelligent Vision Systems, Oct 2008, Juan-Les-Pins, France. pp.1093-1102 Advanced Concepts for Intelligent Vision Systems ISBN: 9783540884576 ACIVS |
| Popis: | International audience; The detection of the state open or closed of mouth is an important information in many applications such as hypo-vigilance analysis, face features segmentation or emotions recognition. In this work we propose a supervised classification method for mouth state detection based on retina filtering and cortex analysis inspired by the human visual system. The first stage of the method is the learning of reference signatures (Log Polar Spectrums) from some open and closed mouth images manually classified. The signatures are constructed by computing the amplitude log-polar spectrum of the retina filtered images. Principal Components Analysis (PCA) is then performed using the Log Polar Spectrum as feature vectors to reduce the number of dimension by keeping 95 % of the total variance. Finally a binary SVM classifier is trained using the projections the principal components given by the PCA in order to classify the mouth. |
| Databáze: | OpenAIRE |
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