International Journal of Image, Graphics and Signal Processing(IJIGSP)
ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)
Published By: MECS Press
IJIGSP Vol.7, No.5, Apr. 2015
GWAgeER – A GroupWise Age Ranking Framework for Human Age Estimation
Full Text (PDF, 542KB), PP.1-12
The task of estimating the age of humans from facial image is a challenging one due to the non-linear and personalized pattern of aging differing from one individual to another. In this work, we investigated the problem of estimating the age of humans from their facial image using a GroupWise age ranking approach complemented by ageing pattern correlation learning. In our proposed GroupWise age-ranking approach, we constructed a reference image set grouped according to ages for each individual in the reference set and used this to obtain age-ranks for each age group in the reference set. The constructed reference set was used to obtain transformed LBP features called age-rank-biased LBP (arLBP) features which were used with attached age-ranks to train an age estimating function for predicting the ages of test images. Our experiments on the publicly available FG-NET dataset and a locally collected dataset (FAGE) shows the best known age estimation accuracy with MAE of 2.34 years on FG-NET using the leave-one-person-out strategy.
Cite This Paper
Olufade F. W. Onifade, Damilola J. Akinyemi,"GWAgeER – A GroupWise Age Ranking Framework for Human Age Estimation", IJIGSP, vol.7, no.5, pp.1-12, 2015.DOI: 10.5815/ijigsp.2015.05.01
J. T. Todd, L. S. Mark, R. E. Shaw, and J. B. Pittenger, "The Perception of Human Growth," Sci. Am., vol. 242, no. 2, pp. 132–144, 1980.
Y. H. Kwon and V. Lobo, "Age Classification from Facial Images," Comput. Vis. Image Underst., vol. 74, no. 1, pp. 1–21, 1999.
W. Chao, J. Liu, and J. Ding, "Facial Age Estimation based on Label-Sensitive Learning and Age-Oriented Regression," Pattern Recognit., vol. 46, no. 3, pp. 628–641, 2013.
A. M. Albert, K. Ricanek, and E. Patterson, "A Review of The Literature on The Aging Adult Skull and Face: Implications for Forensic Science Research and Applications," pp. 1–9, 2007.
G. Guo and T. S. Huang, "Human Age Estimation Using Bio-Inspired Features," in IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 112–119.
X. Geng, Y. Fu, and K. S. Miles, "Automatic Facial Age Estimation," in 11th Pacific Rim International Conference on Artificial Intelligence, 2010, pp. 1–130.
G. Guo, Y. Fu, C. R. Dyer, and T. S. Huang, "Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression," IEEE Trans. Image Process., vol. 17, no. 7, pp. 1178–1188, 2008.
O. F. W. Onifade and J. D. Akinyemi, "A Model of Correlated Ageing Pattern for Age Ranking," in Fourth International Conference on Computer Science and Information Technology, 2014, vol. 4, no. 2, pp. 477–485.
N. Ramanathan, R. Chellappa, and S. Biswas, "Age Progression in Human Faces: A Survey," Vis. Lang. Comput., pp. 1–11, 2009.
 "FG-NET," 2013. [Online]. Available: http://sting.cycollege.ac.cy/~alanitis/fgnetaging/index.htm. [Accessed: 17-Jun-2013].
K. Ricanek and T. Tesafaye, "MORPH: A Longitudinal Image Database of Normal Adult Age-Progression," in In IEEE 7th International Conference on Automatic Face and Gesture Recognition, 2006, pp. 341–345.
M. Y. El Dib and H. M. Onsi, "Human Age Estimation Framework Using Different Facial Parts," Egypt. Informatics J., vol. 12, no. 1, pp. 53–59, 2011.
G. Guo and G. Mu, "Simultaneous Dimensionality Reduction and Human Age Estimation via Kernel Partial Least Squares Regression," in IEEE Computer Vision and Pattern Recognition (CVPR), 2011 …, 2011, pp. 657–664.
O. F. W. Onifade and S. O. Ademola, "Fuzzy Analysis and Adaptive Anthropometry Model for Object Identification in Surveillance System," Int. J. Comput. Sci. Its Appl., vol. 20, no. 2, pp. 29 – 37, 2013.
W. Horng, C. Lee, and C. Chen, "Classification of Age Groups Based on Facial Features," Tamkang J. Sci. Eng., vol. 4, no. 3, pp. 183–192, 2001.
N. Ramanathan and R. Chellappa, "Face Verification across Age Progression," IEEE Trans. Image Process., vol. 15, no. 11, pp. 3349 – 3361, 2006.
X. Geng, Z. Zhou, and K. Smith-miles, "Automatic Age Estimation Based on Facial Aging Patterns," IEEE Trans. Image Process., vol. 29, no. 12, pp. 2234–2240, 2007.
A. Lanitis, C. J. Taylor, and T. F. Cootes, "Towards Automatic Simulation of Aging Effects on Face Images," vol. 24, no. 4, pp. 442–455, 2002.
M. Tsai, Y. Liao, and I. Lin, "Human Face Aging With Guided Prediction and Detail Synthesis," Multimed. Tools Appl., 2013.
A. Lanitis, C. Draganova, and C. Christodoulou, "Comparing Different Classifiers for Automatic Age Estimation," IEEE Trans. Syst. Man, Cybern. Part B Cybern., vol. 34, no. 1, pp. 621–628, 2004.
X. Zhuang, X. Zhou, M. Hasegawa-Johnson, and T. Huang, "Face Age Estimation Using Patch-Based Hidden Markov Model Supervectors," in 19th International Conference on Pattern Recognition, 2008, pp. 1–4.
V. N. Vapnik, Statistical Learning Theory. New York: John Wiley & Sons Inc., 1998, pp. 1–740.
V. N. Vapnik, "An Overview of Statistical Learning Theory," IEEE Trans. Neural Networks, vol. 10, no. 5, pp. 988–999, 1999.
Y. Fu, Y. Xu, and T. S. Huang, "Estimating Human Age by Manifold Analysis of Face Pictures and Regression on Aaging Features," in IEEE Conference on Multimedia Exposition, 2007, pp. 1383–1386.
Y. Fu and T. S. Huang, "Human Age Estimation With Regression on Discriminative Aging Manifold," IEEE Trans. Multimed., vol. 10, no. 4, pp. 578–584, 2008.
S. Yan, X. Zhou, M. Hasegawa-johnson, and T. S. Huang, "Regression from Patch-Kernel," in IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1–8.
S. Yan, H. Wang, T. S. Huang, Q. Yang, and X. Tang, "Ranking with Uncertain Labels," in IEEE International Conference on Multimedia and Expo, 2007, pp. 96–99.
D. Cao, Z. Lei, Z. Zhang, J. Feng, and S. Z. Li, "Human Age Estimation Using Ranking SVM," in 7th Chinese Conference, CCBR, 2012, vol. 7701, pp. 324–331.
K. Chang, C. Chen, and Y. Hung, "A Ranking Approach for Human Age Estimation Based on Face," in International Conference on Pattern Recognition, 2010.
P. Yang, L. Zhong, and D. Metaxas, "Ranking Model for Facial Age Estimation," in International Conference on Pattern Recognition, 2010, pp. 3408–3411.
K. Chang, C. Chen, and Y. Hung, "Ordinal Hyperplanes Ranker with Cost Sensitivities for Age Estimation," in IEEE Conference on Computer Vision and Pattern Recognition, 2011, pp. 585 – 592.
O. F. W. Onifade and J. D. Akinyemi, "A GW Ranking Approach for Facial Age Estimation," Egypt. Comput. Sci. J., vol. 38, no. 3, pp. 1–6, 2014.
Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai, and H. Li, "Learning to Rank : From Pairwise Approach to Listwise Approach," in 24th International Conference on Machine Learning, 2007, pp. 1–8.
T. Qin, X.-D. Zhang, M.-F. Tsai, D.-S. Wang, T.-Y. Liu, and H. Li, "Query-level Loss Functions For Information Retrieval," Inf. Process. Manag., vol. 44, no. 2, pp. 838–855, Mar. 2008.
F. Xia and J. Wang, "Listwise Approach to Learning to Rank - Theory and Algorithm," in 25th International Conference on Machine Learning, 2008.
T. Ojala, M. Pietikäinen, and D. Harwood, "A Comparative Study of Texture Measures with Classification Based on Feature Distributions," Pattern Recognit. Lett., vol. 19, no. 3, pp. 51–59, 1996.
T. Ojala, M. Pietikäinen, and T. Mäenpää, "Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns," in European Conference on Computer Vision, 2000, pp. 404–420.
T. Ojala, M. Pietikäinen, and M. Topi, "Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971–987, 2002.
G. Guo, T. S. Huang, and C. R. Dyer, "Locally Adjusted Robust Regression for Human Age Estimation," in IEEE Workshop on Applications of Computer Vision, 2008.
T. Hastie and R. Tibshirani, The Elements Of Statistical Learning: Data Mining, Inference And Prediction, 2nd ed. Springer, 2008, pp. 1–758.
K. Luu, K. Ricanek, T. D. Bui, and C. Y. Suen, "Age Estimation using Active Appearance Models and Support Vector Machine Regression," in IEEE International Conference on Biometrics: Theory, Applications and System, 2009, pp. 314–318.
M. Y. El Dib and M. El-saban, "Human Age Estimation Using Enhanced Bio-Inspired Features (EBIF)," in IEEE 17th International Conference on Image Processing, 2010, pp. 1589–1592.