The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Multi-View Continuous 4D Human Motion Dataset
Large-Scale 1080P Multi-View Human Motion Data for AI Research & Commercial Applications
10,000+
Total Hours
2,000+
Real-world Scenes
6,000+
Subject Instances
Dataset Scale
800+Multi-Person Interactions (Hours) |
2,200+Dual-Person Actions (Hours) |
7,000+Single-Person Actions (Hours) |
📂 Dataset Structure
We provide modularly selectable annotation data covering human body parameters ranging from video-level to frame-level.
├── Dataset_Root/
│ ├── Videos/ # raw video data
│ │ ├── Duration/ # duration
│ │ ├── Scene_01/ # a complete acquisition unit
│ │ │ ├── Cam_01.mp4
│ │ │ └── ... (6 views)
│ ├── Content/ # scene content description
│ │ ├── Environment/ # environment
│ │ ├── Scene_Type/ # scene
│ │ ├── People_Count/ # number of people
│ │ ├── Action_Category/ # action
│ ├── VGGT/ # 3D Point Cloud
│ ├── Annotations/ # SMPL Parameters
│ │ ├── Scene_01.json
│ │ │ ├── "frames": [
│ │ │ │ ├──{
│ │ │ │ │ ├── "frame_id": 0,
│ │ │ │ │ ├── "smpl_params": {
│ │ │ │ │ │ ├── "global_orient": [rx, ry, rz],
│ │ │ │ │ │ ├── "body_pose": [[j1_rx, j1_ry, j1_rz],...], # 23 joints in total
│ │ │ │ │ │ ├── "transl": [tx, ty, tz],
│ │ │ │ │ ├── }
│ │ │ │ ├──}
│ │ │ ├──]
💡 Tip： Required fields can be freely chosen based on actual needs: multi-camera raw video data, environment, scene type, number of people, action category, duration, point cloud data (.vgt), frame-level human body parameters (SMPL).
📊 Dataset Overview
- multi-person actions： 800+ 小时
- two-person actions： 2,200+ 小时
- single-person actions： 7,000+ 小时
- number of real-world scenes： 2,000+
- Shooting participant person-times： 6,000+
- total actual shooting duration： 10,000+ 小时
- video quality： Full set of 1080P HD videos, with the longest single video exceeding 60 minutes.
- acquisition method： Multi-view synchronous acquisition, with stable time-series alignment.
- Downloads last month
- 109