SOTAVerified

Pose Tracking

Pose Tracking is the task of estimating multi-person human poses in videos and assigning unique instance IDs for each keypoint across frames. Accurate estimation of human keypoint-trajectories is useful for human action recognition, human interaction understanding, motion capture and animation.

Source: LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

Papers

Showing 131140 of 191 papers

TitleStatusHype
GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger0
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking0
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview0
ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion0
POSE-ID-on—A Novel Framework for Artwork Pose ClusteringCode0
An Occlusion‐aware Edge‐Based Method for Monocular 3D Object Tracking using Edge Confidence.Code0
PoseTrackReID: Dataset Description0
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes0
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone0
Variational Inference and Learning of Piecewise-linear Dynamical Systems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DetTrackMOTA64.09Unverified
2KeyTrackMOTA61.15Unverified
3LightTrackMOTA58.01Unverified
4HRNet-W48 COCOMOTA57.93Unverified
5MSRA (FlowTrack)MOTA57.81Unverified
6TML++ (MIPAL)MOTA54.46Unverified
7STAFMOTA53.81Unverified
8ProTrackerMOTA51.82Unverified
9PoseFlowMOTA50.98Unverified
10PoseTrackMOTA48.37Unverified
#ModelMetricClaimedVerifiedStatus
1DetTrackMOTA64.3Unverified
2UniTrackMOTA63.5Unverified
34DHumans + ViTDetMOTA61.9Unverified
4MSRAMOTA61.37Unverified
5TML++ (MIPAL)MOTA54.86Unverified
#ModelMetricClaimedVerifiedStatus
1PoseTrackMOTA28.2Unverified