Gait-based age estimation using a whole-generation gait database

Authors:
Yasushi Makihara;Mayu Okumura;Haruyuki Iwama;Yasushi Yagi
Affiliations:
Osaka university, Japan;Osaka university, Japan;Osaka university, Japan;Osaka university, Japan
Venue:
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Year:
2011

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The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits

Journal of Visual Communication and Image Representation

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Abstract

This paper addresses gait-based age estimation using a large-scale whole-generation gait database. Previous work on gait-based age estimation evaluated their methods using databases that included only 170 subjects at most with a limited age variation, which was insufficient to statistically demonstrate the possibility of gait-based age estimation. Therefore, we first constructed a much larger whole-generation gait database which includes 1,728 subjects with ages ranging from 2 to 94 years. We then provided a baseline algorithm for gait-based age estimation implemented by Gaussian process regression, which has achieved successes in the face-based age estimation field, in conjunction with silhouette-based gait features such as an averaged silhouette (or Gait Energy Image) which has been used extensively in many gait recognition algorithms. Finally, experiments using the whole-generation gait database demonstrated the viability of gait-based age estimation.