Abstract | ||
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Gait-based age estimation is a key technique for many applications. It is well known that age estimation uncertainty is highly dependent on age (i.e., small for children and large for adults), and it is important to know the uncertainty for the above-mentioned applications. Therefore, we propose a method for uncertainty-aware gait-based age estimation by introducing a label distribution learning f... |
Year | DOI | Venue |
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2021 | 10.1109/TBIOM.2021.3080300 | IEEE Transactions on Biometrics, Behavior, and Identity Science |
Keywords | DocType | Volume |
Estimation,Uncertainty,Databases,Biometrics (access control),Training,Senior citizens,Support vector machines | Journal | 3 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chi Xu | 1 | 0 | 0.34 |
Atsuya Sakata | 2 | 0 | 1.01 |
Yasushi Makihara | 3 | 1012 | 70.67 |
Noriko Takemura | 4 | 0 | 0.34 |
Daigo Muramatsu | 5 | 0 | 0.34 |
Yasushi Yagi | 6 | 0 | 0.34 |
Jianfeng Lu | 7 | 6 | 1.08 |