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
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple ViewsCode1
Semantic-Aware Fine-Grained CorrespondenceCode1
Breathless: An 8-hour Performance Contrasting Human and Robot Expressiveness0
6D Object Pose Tracking in Internet Videos for Robotic Manipulation0
3D Human Pose Estimation for Free-form Activity Using WiFi Signals0
Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect0
A Modular Edge Device Network for Surgery Digitalization0
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks0
Efficient Pose Tracking from Natural Features in Standard Web Browsers0
Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields0
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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