IPSJ Transactions on Computer Vision and Applications
Online ISSN : 1882-6695
ISSN-L : 1882-6695
The OU-ISIR Gait Database Comprising the Treadmill Dataset
Yasushi MakiharaHidetoshi MannamiAkira TsujiMd. Altab HossainKazushige SugiuraAtsushi MoriYasushi Yagi
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JOURNALS FREE ACCESS

2012 Volume 4 Pages 53-62

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Abstract

This paper describes a large-scale gait database comprising the Treadmill Dataset. The dataset focuses on variations in walking conditions and includes 200 subjects with 25 views, 34 subjects with 9 speed variations from 2km/h to 10km/h with a 1km/h interval, and 68 subjects with at most 32 clothes variations. The range of variations in these three factors is significantly larger than that of previous gait databases, and therefore, the Treadmill Dataset can be used in research on invariant gait recognition. Moreover, the dataset contains more diverse gender and ages than the existing databases and hence it enables us to evaluate gait-based gender and age group classification in more statistically reliable way.

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© 2012 by the Information Processing Society of Japan
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