Tracker.
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Upload a video clip and select tracking methods — GVHMR for 3D body
mesh, DWPose for skeleton, or depth point cloud.
AI motion tracking pipeline — 3D body mesh, hand tracking, pose estimation, and depth reconstruction from monocular video.
World-Grounded Human Mesh Recovery (SIGGRAPH Asia 2024). Recovers full 3D SMPL body meshes with world-space positioning and ground plane attachment. Includes automatic HaMeR hand tracking (MANO finger pose), Savitzky-Golay temporal smoothing, and foot-contact ground pinning.
Combines SAM3 person segmentation with DepthAnything2 monocular depth estimation to generate 3D point clouds (.ply) of detected subjects. Useful for volumetric capture previews and spatial analysis.
YOLOv8-Pose for real-time 2D skeleton extraction. Detects 17 body keypoints (COCO format) per person per frame with confidence scoring. Includes temporal smoothing (Savitzky-Golay) to reduce jitter between frames.
Full COCO-WholeBody keypoint detection: 17 body + 68 face + 42 hand (21 per hand) + 6 foot keypoints. Uses the DWPose model for comprehensive whole-body motion capture including finger articulation and facial landmark tracking.
Google MediaPipe hand landmark detection. 21 keypoints per hand (fingertips, knuckles, wrist) with real-time performance. Tracks up to 2 hands simultaneously with sub-pixel accuracy for finger-level gesture recognition.
Select one or more methods per job. Each runs independently on Thor's GPU: