Datasets › OUMVLP-Pose

OUMVLP-Pose (Multi-View Large Population Database with Pose Sequence)

archive 2025-07-28

The OU-ISIR Gait Database, Multi-View Large Population Database with Pose Sequence (OUMVLP-Pose) is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for model-based gait recognition.

This data set was built upon OU-MVLP. It contains 10,307 subjects of round-trip walking sequences captured by seven network cameras at intervals of 15° (this sums to 14 views by considering the round trip on the same walking course) with an image size of 1,280 x 980 pixels and a frame-rate of 25 fps.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

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 OUMVLP-Pose dataset.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • OUMVLP-Pose

1 variant name, as the archive lists them.

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