The OU-ISIR Gait Database, Multi-View Large Population Dataset (OU-MVLP) is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for cross-view gait recognition. The Institute of Scientific and Industrial Research (ISIR), Osaka University (OU) has copyright in the collection of gait video and associated data and serves as a distributor of the OU-ISIR Gait Database.
The data was collected in conjunction with an experience-based long-run exhibition of video-based gait analysis at a science museum. The approved informed consent was obtained from all the subjects in this dataset. The dataset consists of 10,307 subjects (5,114 males and 5,193 females with various ages, ranging from 2 to 87 years) from 14 view angles, ranging 0°-90°, 180°-270°. Gait images of 1,280 x 980 pixels at 25 fps are captured by seven network cameras (Cam1-7) placed at intervals of 15-deg azimuth angles along a quarter of a circle whose center coincides with the center of the walking course. Its radius is approximately 8 m and height is approximately 5 m.
Variants: OUMVLP
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Gait Recognition | GaitSTR | GaitSTR: Gait Recognition with Sequential … | 2024-04-02 |
| Gait Recognition | HSTL | Hierarchical Spatio-Temporal Representation Learning for … | 2023-07-19 |
| Gait Recognition | GaitMM | GaitMM: Multi-Granularity Motion Sequence Learning … | 2022-09-18 |
| Gait Recognition | CSTL | Multi-scale Context-aware Network with Transformer … | 2022-04-07 |
| Gait Recognition | ReverseMask | Gait Recognition with Mask-based Regularization | 2022-03-08 |
| Gait Recognition | GaitSet | GaitSet: Regarding Gait as a … | 2018-11-15 |
Recent papers with results on this dataset: