ZGTZ-2026/MultiView-4D-Human-Motion-Dataset

---
license: other
task_categories:
- video-classification
- image-classification
- feature-extraction
language:
- en
- zh
tags:
- multi-view
- 4d-human
- human-motion
- pose-estimation
- long-sequence
- embodied-ai
- pose_estimation
- video
pretty_name: MultiView-4D-Human-Motion-Dataset
size_categories:
- 1M<n<10M
---
---

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Multi-View Continuous 4D Human Motion Dataset
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Large-Scale 1080P Multi-View Human Motion Data for AI Research & Commercial Applications
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<h2 style="color:#D72222; margin:0 0 15px 0; font-size:48px; font-weight:700;">10,000+</h2>
<p style="color:#555; margin:0; font-size:18px; font-weight:500;">Total Hours</p>
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<h2 style="color:#D72222; margin:0 0 15px 0; font-size:48px; font-weight:700;">2,000+</h2>
<p style="color:#555; margin:0; font-size:18px; font-weight:500;">Real-world Scenes</p>
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<h2 style="color:#D72222; margin:0 0 15px 0; font-size:48px; font-weight:700;">6,000+</h2>
<p style="color:#555; margin:0; font-size:18px; font-weight:500;">Subject Instances</p>
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Dataset Scale
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<h3 style="font-size:32px; color:#D72222; margin:0; font-weight:bold;">800+</h3>
<p style="font-size:16px; color:#555; margin:8px 0 0 0;">Multi-Person Interactions (Hours)</p>
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<h3 style="font-size:32px; color:#D72222; margin:0; font-weight:bold;">2,200+</h3>
<p style="font-size:16px; color:#555; margin:8px 0 0 0;">Dual-Person Actions (Hours)</p>
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<h3 style="font-size:32px; color:#D72222; margin:0; font-weight:bold;">7,000+</h3>
<p style="font-size:16px; color:#555; margin:8px 0 0 0;">Single-Person Actions (Hours)</p>
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📂 Dataset Structure
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We provide modularly selectable annotation data covering human body parameters ranging from video-level to frame-level.
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├── 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],
│ │ │ │ │ ├── }
│ │ │ │ ├──}
│ │ │ ├──]
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<strong>💡 Tip：</strong>
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).
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<h2 style="font-size:36px; margin-bottom:18px; color:#333; border-bottom:2px solid #D72222; padding-bottom:8px; display:inline-block; margin-top:0;">
📊 Dataset Overview
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<ul style="font-size:18px; color:#555; line-height:1.8; list-style-type:none; padding-left:0; margin:0 0 18px 0;">
<li style="margin-bottom:6px;"> <strong>multi-person actions：</strong> 800+ 小时</li>
<li style="margin-bottom:6px;"> <strong>two-person actions：</strong> 2,200+ 小时</li>
<li style="margin-bottom:6px;"> <strong>single-person actions：</strong> 7,000+ 小时</li>
<li style="margin-bottom:6px;"> <strong>number of real-world scenes：</strong> 2,000+</li>
<li style="margin-bottom:6px;"> <strong>Shooting participant person-times：</strong> 6,000+</li>
<li style="margin-bottom:6px;"> <strong>total actual shooting duration：</strong> 10,000+ 小时</li>
<li style="margin-bottom:6px;"> <strong>video quality：</strong> Full set of 1080P HD videos, with the longest single video exceeding 60 minutes.</li>
<li style="margin-bottom:6px;"> <strong>acquisition method：</strong> Multi-view synchronous acquisition, with stable time-series alignment.</li>
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<a href="http://220.168.41.41:8090/multi-viewData/index"
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Visit Official Website：中广天择2026年高清连续多视角4D视频数据集
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