Combined Methodology of PHOG and LBP to Identify Facial Expression from Videos
Keywords:
Pyramid Histogram of Orientation gradients, K-NN classifier, GEMEP-FERA dataset, Facial Expression, Key Frame Extraction, gradients, binary featuresAbstract
An interesting and one of the challenging problem for this decade is of the identification and detection of human facial expression from cluttered image sequence. In this paper we proposed a methodology of PHOG and LBP to identify facial expression from GEMEP-FERA dataset 2011 competition, a standard dataset. we compare the results of PHOG and LBP results. during results analysis it was found that by combining the features of PHOG and LBP we found improved results. For classification, we used the K-NN classifier. before this, a key frame were extracted by using the novel method. PHOG gives gradient features and LBP gives binary features by combining both features, we obtain improved results.
References
B.Fasel and J. Luettin,"Automatic facial expression analysis: a survey," Pattern Recognition, vol.36,no. 1,pp.259-275,2003.
P. Ekman and E.L. Rosenberg, what the face reveals: Basic and applied studies of spontaneous expression using the facial action coding system. USA:Oxford university Press,1997.
Y.Wang, H.Ai, B.Wu, and C.Huang."Real time facial expression recognition with adaboost,'' in Proceedings of the 17th international conference on pattern recognition,2004,pp.926-929.
T. Banziger and K.R. Scherer,"Introducing the geneva multimodal emotion portrayal (gemep) corpus," in Blueprint for affective computing: A sourcebook, T. B. K. R. Scherer and E. R. (Eds.), Eds. Oxford England: Oxford University Press.
G.Donato, M.S.Bartlett,J.C. Hager,P.Ekman, and T.J. Sejnowski,"Classification facial actions,"IEEE TPAMI,vol. 21,no. 10,pp. 974-989,1999.
S. Lucey,I. matthews, C.Hu,Z. Ambadar,F.de la Torre, and J. Cohn,"Aam derived face representations for robust action recognition," in IEEE AFGR, 2006.
ZHAO Guang-sheng,"A Novel Approach for shot boundary detection and key frames extraction,"2008 International Conference on multi media and information technology.
P.Viola and M.J. Jones,"Robust real-time face detection,"international journal of computer vision, vol.57,no. 2,pp. 137-154,2004.
A. Bosch, A. Zisserman, and X.Munoz,"Representing shape with a spatial pyramid kernel," in Proceedings of the ACM international Conference on Image and Video Retrieval,2007.
T. Ojala, M Pietikainen, and T. Maenpaa,"Multiresolution gray-scale and rotation Invariant texture classification with local binary patterns,"IEEE transaction on Pattern Analysis and machine Intelligence,vol.24,no. 7,pp. 971-987,2002.
T. Denoeux, “A k-nearest neighbor classification rule based on Dempster–Shafer theory,” IEEE Trans. Syst Man, Cybern., vol. 25, pp. 804–813, May 1995.
M.Valstar,B. Jiang, M. Mehu, M. Pantic, and S. Klaus," The first facial expression recognition and analysis challenge," in Automatic Face and Gesture Recognition,2011
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.
