KERNEL ELM BASED AGE ESTIMATION

Authors : Furkan Gürpinar, Heysem Kaya, Sadaf Afshar, Hamdi Dibeklioğlu, Albert Salah
Pages : 1-14
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Publication Date : 2016-01-21
Article Type : Other
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 (ELM) with Gaussian (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 (MAE) of 5.20.
Keywords : Age estimation, ELM, biometrics

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