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 5160 of 191 papers

TitleStatusHype
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Simple Baselines for Human Pose Estimation and TrackingCode1
From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation0
Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies0
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations0
Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers0
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes0
Comparison of Visual Trackers for Biomechanical Analysis of Running0
GSFF-SLAM: 3D Semantic Gaussian Splatting SLAM via Feature Field0
Multi-person Physics-based Pose Estimation for Combat Sports0
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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