KERNEL ELM BASED AGE ESTIMATION

Authors : Furkan GÜRPINAR, Heysem KAYA, Sadaf AFSHAR, Hamdi DİBEKLİOĞLU, Albert SALAH

Pages : 1-14

View : 18 | Download : 9

Publication Date : 2016-01-21

Article Type : Research Paper

Abstract :This paper presents a framework for estimating the apparent age of a subject from their face image. To learn the age estimation model, we used a set of visual descriptors and their feature-level fusion to obtain a single feature vector for apparent age. For model learning, we used regression with Extreme Learning Machines insert ignore into journalissuearticles values(ELM); with Gaussian insert ignore into journalissuearticles values(RBF); kernels. We tested the proposed system with k-fold cross-validation on the dataset provided by ChaLearn Looking at People 2015 - Apparent Age Estimation challenge. By combining visual descriptors from multiple grids, we obtained a Mean Absolute Error insert ignore into journalissuearticles values(MAE); of 5.20.
Keywords : Age estimation, ELM, biometrics