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Age classification in human body images

[+] Author Affiliations
Qin Wu

Jiangnan University, Department of Computer Science, Wuxi, Jiangsu 214122, China

Guodong Guo

West Virginia University, Department of Computer Science and Electrical Engineering, Morgantown, West Virginia 26505

J. Electron. Imaging. 22(3), 033024 (Sep 03, 2013). doi:10.1117/1.JEI.22.3.033024
History: Received April 9, 2013; Revised July 22, 2013; Accepted July 30, 2013
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Abstract.  Human age estimation in face images has become an active research topic in computer vision because of many potentially useful applications. However, the face may be unavailable or unusable in reality, especially for noncooperative users. So, a question is raised: Is it still possible to extract some relevant information on age when the face cannot be used? A new idea for age classification based on human body anthropometry is proposed which does not rely on the face. Based on this idea, a computational algorithm is developed to separate children from adults using relative lengths of body parts. To demonstrate the feasibility of this technique, the proposed age classification method is applied to two public databases of articulated human body images. A good accuracy is achieved on both databases, which is very encouraging.

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Qin Wu and Guodong Guo
"Age classification in human body images", J. Electron. Imaging. 22(3), 033024 (Sep 03, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033024


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