| CCGR |
The CCGR dataset has 970 subjects and about 1.6 million sequences; almost every subject has 33 views and 53 different covariates. |
2024 |
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Central South University |
| FreeGait |
The dataset contains multi-modal and various 2D/3D data. |
2024 |
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ShanghaiTech University |
| OccGait |
OccGait provides gait data of 101 identities, covering 8 camera views and over 80K sequences. |
2024 |
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Beijing Normal University |
| D-Gait |
It contains 27,120 gait sequences collected from 292 volunteers. |
2024 |
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Beijing Normal University |
| CASIA-E |
A large-scale outdoor gait dataset, which contains more than one thousand people distributed over near one million videos. |
2023 |
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CASIA |
| SUSTech1K |
It encompasses 25,239 sequences from 1,050 subjects. |
2023 |
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Southern University of Science and Technology |
| DroneGait |
The dataset contains over 22,000 instances and involves 96 different subjects. |
2023 |
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Beijing Normal University |
| CCPG |
It contains 200 identities and has over 16,000 sequences captured both indoors and outdoors. |
2023 |
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Beijing Normal University |
| Gait3D |
It contains 4,000 subjects and over 25,000 sequences extracted from 39 cameras in an unconstrained indoor scene. |
2022 |
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Hangzhou Dianzi University |
| OU-ISIR Gait Database, Multi-View Large Population Dataset with Human Meshes |
It contains 10,307 subjects with up to 14 viewing angles. The raw images are captured at a resolution of 1280 x 980 pixels at 25 fps. |
2022 |
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The Institute of Scientific and Industrial Research |
| GREW |
It includes 26,345 subjects, 128,671 sequences, 14,185,478 human boxes, and a distractor set containing 233,857 sequences. |
2021 |
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Tsinghua University |
| OU-ISIR Gait Database, Multi-View Large Population Dataset with Pose Sequence |
It contains 10,307 subjects with an image size of 1,280 x 980 pixels and a frame-rate of 25 fps. |
2020 |
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The Institute of Scientific and Industrial Research |
| Aerial Gait Dataset |
The contour dataset contains 1,017 images, and the color image dataset consists of 8,111 images. |
2018 |
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Griffith University |
| The OU-ISIR Large Population Gait Database with real-life carried object (OU-LP-Bag) |
It consists of 62,528 subjects. The image resolution and frame rate were 1280 x 980 pixels and 25 fps, respectively. |
2018 |
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The Institute of Scientific and Industrial Research |
| The OU-ISIR Gait Database, Multi-View Large Population Dataset |
The dataset consists of 10,307 subjects from 14 view angles. Gait images are 1,280 x 980 pixels at 25 fps. |
2018 |
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The Institute of Scientific and Industrial Research |
| The OU-ISIR Gait Database, Large Population Dataset with Age |
The data set consists of 63,846 subjects walking along a course captured by the camera at 30 fps, 640 by 480 pixels. |
2017 |
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The Institute of Scientific and Industrial Research |
| The OU-ISIR Gait Database, Similar Action Inertial Dataset |
It contains action data of more than 460 people with similar gender ratio and aged between 8 and 78. |
2015 |
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The Institute of Scientific and Industrial Research |
| The OU-ISIR Gait Speed Transition Dataset |
It contains two datasets containing gait sequences with speed transition as well as constant speed gallery. |
2014 |
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The Institute of Scientific and Industrial Research |
| The OU-ISIR Gait Database, Inertial Sensor Dataset |
It contains the level walking data of 744 subjects, as well as the walking data collected from 3 IMUZ sensors of 495 subjects and smartphones of 408 subjects under different ground slopes and sensor locations. |
2014 |
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The Institute of Scientific and Industrial Research |
| TUM-IITKGP Gait Database |
The dataset consists of 35 subjects with a total of 840 sequences captured in indoor environment under different carrying and occlusion conditions. |
2011 |
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Technische Universität München, Germany |
| The OU-ISIR Gait Database, Large Population Dataset |
The data set consists of persons walking on the ground surrounded by the 2 cameras at 30 fps, 640 by 480 pixels. |
2009 |
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The Institute of Scientific and Industrial Research |
| The OU-ISIR Gait Database, Treadmill Dataset |
The data set consists of persons walking on a treadmill surrounded by the 25 cameras at 60 fps, 640 by 480 pixels. |
2007 |
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The Institute of Scientific and Industrial Research |
| CASIA-B |
The CASIA-B dataset is a multi-view gait database, which includes gait data from 124 subjects, captured from 11 different views. |
2006 |
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CASIA |