Automatic Age Estimation System for Face Images

Automatic Age Estimation System for Face Images

Humans are the most important tracking objects in surveillance systems. However, human tracking is not enough to provide the required information for personalized recognition. In this paper, we present a novel and reliable framework for automatic age estimation based on computer vision. It exploits...

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Main Authors: Chin-Teng Lin, Dong-Lin Li, Jian-Hao Lai, Ming-Feng Han, Jyh-Yeong Chang
Format: Article
Language:English
Published: SAGE Publishing 2012-11-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/52862
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spelling doaj-b0400d7351854b4594adac6e163f66932020-11-25T03:03:15ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142012-11-01910.5772/5286210.5772_52862Automatic Age Estimation System for Face ImagesChin-Teng Lin0Dong-Lin Li1Jian-Hao Lai2Ming-Feng Han3Jyh-Yeong Chang4 Department of Electrical Engineering, National Chiao-Tung University, Taiwan, R.O.C. Department of Electrical Engineering, National Chiao-Tung University, Taiwan, R.O.C. Department of Computer Science, National Chiao-Tung University, Taiwan, R.O.C. Department of Electrical Engineering, National Chiao-Tung University, Taiwan, R.O.C. Department of Electrical Engineering, National Chiao-Tung University, Taiwan, R.O.C.Humans are the most important tracking objects in surveillance systems. However, human tracking is not enough to provide the required information for personalized recognition. In this paper, we present a novel and reliable framework for automatic age estimation based on computer vision. It exploits global face features based on the combination of Gabor wavelets and orthogonal locality preserving projections. In addition, the proposed system can extract face aging features automatically in real-time. This means that the proposed system has more potential in applications compared to other semi-automatic systems. The results obtained from this novel approach could provide clearer insight for operators in the field of age estimation to develop real-world applications.https://doi.org/10.5772/52862
collection DOAJ
language English
format Article
sources DOAJ
author Chin-Teng Lin
Dong-Lin Li
Jian-Hao Lai
Ming-Feng Han
Jyh-Yeong Chang
spellingShingle Chin-Teng Lin
Dong-Lin Li
Jian-Hao Lai
Ming-Feng Han
Jyh-Yeong Chang
Automatic Age Estimation System for Face Images
International Journal of Advanced Robotic Systems
author_facet Chin-Teng Lin
Dong-Lin Li
Jian-Hao Lai
Ming-Feng Han
Jyh-Yeong Chang
author_sort Chin-Teng Lin
title Automatic Age Estimation System for Face Images
title_short Automatic Age Estimation System for Face Images
title_full Automatic Age Estimation System for Face Images
title_fullStr Automatic Age Estimation System for Face Images
title_full_unstemmed Automatic Age Estimation System for Face Images
title_sort automatic age estimation system for face images
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2012-11-01
description Humans are the most important tracking objects in surveillance systems. However, human tracking is not enough to provide the required information for personalized recognition. In this paper, we present a novel and reliable framework for automatic age estimation based on computer vision. It exploits global face features based on the combination of Gabor wavelets and orthogonal locality preserving projections. In addition, the proposed system can extract face aging features automatically in real-time. This means that the proposed system has more potential in applications compared to other semi-automatic systems. The results obtained from this novel approach could provide clearer insight for operators in the field of age estimation to develop real-world applications.
url https://doi.org/10.5772/52862
work_keys_str_mv AT chintenglin automaticageestimationsystemforfaceimages
AT donglinli automaticageestimationsystemforfaceimages
AT jianhaolai automaticageestimationsystemforfaceimages
AT mingfenghan automaticageestimationsystemforfaceimages
AT jyhyeongchang automaticageestimationsystemforfaceimages
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