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Automatic age estimation system for face images
Authors
JY Chang
MF Han
+3 more
JH Lai
DL Li
CT Lin
Publication date
1 November 2012
Publisher
'IntechOpen'
Doi
Cite
Abstract
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. © 2012 Lin et al
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Last time updated on 13/10/2017
OPUS - University of Technology Sydney
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Last time updated on 18/10/2019