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Upper Facial Action Unit Recognition

Zor, C and Windeatt, T (2009) Upper Facial Action Unit Recognition In: 3rd IAPR/IEEE International Conference on Advances in Biometrics, 2009-06-02 - 2009-06-05, Comp Vis Lab, Alghero, ITALY.

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Abstract

This paper concentrates on the comparisons of systems that are used for the recognition of expressions generated by six upper face action units (AUs) by using Facial Action Coding System (FACS). Haar wavelet, Haar-Like and Gabor wavelet coe cients are compared, using Adaboost for feature selection. The binary classi cation results by using Support Vector Machines (SVM) for the upper face AUs have been observed to be better than the current results in the literature, for example 96.5% for AU2 and 97.6% for AU5. In multi-class classi cation case, the Error Correcting Output Coding (ECOC) has been applied. Although for a large number of classes, the results are not as accurate as the binary case, ECOC has the advantage of solving all problems simultaneously; and for large numbers of training samples and small number of classes, error rates are improved.

Item Type: Conference or Workshop Item (Paper)
Additional Information: The original publication is available at http://www.springerlink.com
Uncontrolled Keywords: FACS, ECOG, Adaboost, GABOR FILTERS, OPTICAL-FLOW, EXPRESSIONS
Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Depositing User: Symplectic Elements
Date Deposited: 17 Feb 2012 15:45
Last Modified: 23 Sep 2013 19:03
URI: http://epubs.surrey.ac.uk/id/eprint/135505

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