Name
Title | ||
|---|---|---|
How Confident Are You in Your Estimate of a Human Age? Uncertainty-aware Gait-based Age Estimation by Label Distribution Learning |
Abstract | ||
|---|---|---|
Gait-based age estimation is one of key techniques for many applications (e.g., finding lost children/aged wanders). It is well known that the age estimation uncertainty is highly dependent on ages (i.e., it is generally small for children while is large for adults/the elderly), and it is important to know the uncertainty for the above-mentioned applications. We therefore propose a method of uncertainty-aware gait-based age estimation by introducing a label distribution learning framework. More specifically, we design a network which takes an appearance-based gait feature as an input and outputs discrete label distributions in the integer age domain. Experiments with the world-largest gait database OULP-Age show that the proposed method can successfully represent the uncertainty of age estimation and also outperforms or is comparable to the state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IJCB48548.2020.9304914 | 2020 IEEE International Joint Conference on Biometrics (IJCB) |
Keywords | DocType | ISSN |
integer age domain,uncertainty-aware gait-based age estimation,age estimation uncertainty,label distribution learning,appearance-based gait feature,human age estimation,OULP-Age gait database,aged wanders,lost children finding | Conference | 2474-9680 |
ISBN | Citations | PageRank |
978-1-7281-9187-4 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atsuya Sakata | 1 | 0 | 1.01 |
| Yasushi Makihara | 2 | 1012 | 70.67 |
| Noriko Takemura | 3 | 0 | 2.37 |
| Daigo Muramatsu | 4 | 262 | 24.88 |
| Yasushi Yagi | 5 | 1752 | 186.22 |