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 81–90 of 191 papers

TitleStatusHype
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos—0
GSFF-SLAM: 3D Semantic Gaussian Splatting SLAM via Feature Field—0
Counter-Hypothetical Particle Filters for Single Object Pose Tracking—0
Are High-Resolution Event Cameras Really Needed?—0
Google Map Aided Visual Navigation for UAVs in GPS-denied Environment—0
Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM—0
Comparison of Visual Trackers for Biomechanical Analysis of Running—0
Human from Blur: Human Pose Tracking from Blurry Images—0
Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Survey—0
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models—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