Datasets › OUMVLP
OUMVLP
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.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Gait Recognition | OUMVLP | GaitMM Averaged rank-1 acc(%) 97.0 | GaitMM: Multi-Granularity Motion Sequence Learning for... | gudaochangsheng/ourcode | 7 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 10. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| GaitSTR: Gait Recognition with Sequential Two-stream Refinement | 1 | 1 | 2 Apr 2024 | not harvested |
| Hierarchical Spatio-Temporal Representation Learning for Gait Recognition | 1 | 1 | 19 Jul 2023 | ran 3 of 5 samples (2 unverified; 5 pointer-only for licence) |
| GaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition | 1 | 1 | 18 Sep 2022 | not harvested |
| Multi-scale Context-aware Network with Transformer for Gait Recognition | 0 | 1 | 7 Apr 2022 | not harvested |
| Gait Recognition with Mask-based Regularization | 0 | 1 | 8 Mar 2022 | not harvested |
| 3D Local Convolutional Neural Networks for Gait Recognition | 1 | 1 | 1 Jan 2021 | not harvested |
| GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition | 3 | 1 | 15 Nov 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- OUMVLP
1 variant name, as the archive lists them.
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