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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 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 Estimation—0
Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies—0
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations—0
Fluoroscopic Shape and Pose Tracking of Catheters with Custom Radiopaque Markers—0
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes—0
Comparison of Visual Trackers for Biomechanical Analysis of Running—0
GSFF-SLAM: 3D Semantic Gaussian Splatting SLAM via Feature Field—0
Multi-person Physics-based Pose Estimation for Combat Sports—0
FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video—0
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
A Modular Edge Device Network for Surgery Digitalization—0
Stereo Event-based, 6-DOF Pose Tracking for Uncooperative SpacecraftCode0
Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation—0
6D Object Pose Tracking in Internet Videos for Robotic Manipulation—0
Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting—0
V-HOP: Visuo-Haptic 6D Object Pose Tracking—0
Robust 6DoF Pose Tracking Considering Contour and Interior Correspondence Uncertainty for AR Assembly Guidance—0
Towards Better Robustness: Progressively Joint Pose-3DGS Learning for Arbitrarily Long Videos—0
GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction—0
Learning Whole-Body Loco-Manipulation for Omni-Directional Task Space Pose Tracking with a Wheeled-Quadrupedal-Manipulator—0
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—0
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All datasetsPoseTrack2017PoseTrack2018Multi-Person PoseTrack

Benchmark Results

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