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 121–130 of 191 papers

TitleStatusHype
3D Human Pose Estimation for Free-from and Moving Activities Using WiFi—0
Are High-Resolution Event Cameras Really Needed?—0
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies—0
3D Human Pose Estimation for Free-form Activity Using WiFi Signals—0
Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery—0
A Wide-area, Low-latency, and Power-efficient 6-DoF Pose Tracking System for Rigid Objects—0
Automated Tracking of Primate Behavior—0
VIPose: Real-time Visual-Inertial 6D Object Pose Tracking—0
Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements—0
Improved Radar Localization on Lidar Maps Using Shared Embedding—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