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 91100 of 191 papers

TitleStatusHype
6D Object Pose Tracking in Internet Videos for Robotic Manipulation0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting0
6N-DoF Pose Tracking for Tensegrity Robots0
A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure0
A Gated Attention Transformer for Multi-Person Pose Tracking0
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking0
A Modular Edge Device Network for Surgery Digitalization0
AnimePose: Multi-person 3D pose estimation and animation0
Are High-Resolution Event Cameras Really Needed?0
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes0
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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