Name
Title | ||
|---|---|---|
The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation. |
Abstract | ||
|---|---|---|
In this paper, we describe the world’s largest gait database, the “OU-ISIR Gait Database, Large Population Dataset with Age (OULP-Age)” and its application to a statistically reliable performance evaluation of gait-based age estimation. Whereas existing gait databases include only 4016 subjects at most, we constructed an extremely large-scale gait database that includes 63,846 subjects (31,093 males and 32,753 females) with ages ranging from 2 to 90 years old. Benchmark algorithms of gait-based age estimation were then implemented to evaluate statistically significant performance differences. Additionally, the dependence of gait-based age estimation performance on gender and age group, in addition to the number of training subjects, was investigated to provide several insights for future research on the topic. |
Year | Venue | Keywords |
|---|---|---|
2017 | IPSJ Trans. Computer Vision and Applications | Gait database, Large population, Gait-based age estimation, Performance evaluation |
Field | DocType | Volume |
Population,Gait,Database,Mathematics | Journal | 9 |
Citations | PageRank | References |
4 | 0.38 | 40 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Xu | 1 | 80 | 13.87 |
| Yasushi Makihara | 2 | 1012 | 70.67 |
| Gakuto Ogi | 3 | 4 | 0.38 |
| Xiang Li | 4 | 5 | 1.40 |
| Yasushi Yagi | 5 | 1752 | 186.22 |
| Jianfeng Lu | 6 | 6 | 1.08 |