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The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition

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4 Author(s)
Iwama, H. ; Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan ; Okumura, M. ; Makihara, Y. ; Yagi, Y.

This paper describes the world's largest gait database-the “OU-ISIR Gait Database, Large Population Dataset”-and its application to a statistically reliable performance evaluation of vision-based gait recognition. Whereas existing gait databases include at most 185 subjects, we construct a larger gait database that includes 4007 subjects (2135 males and 1872 females) with ages ranging from 1 to 94 years. The dataset allows us to determine statistically significant performance differences between currently proposed gait features. In addition, the dependences of gait-recognition performance on gender and age group are investigated and the results provide several novel insights, such as the gradual change in recognition performance with human growth.

Published in:

Information Forensics and Security, IEEE Transactions on  (Volume:7 ,  Issue: 5 )
Biometrics Compendium, IEEE

Date of Publication:

Oct. 2012

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