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 176–191 of 191 papers

TitleStatusHype
L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream—0
Large-scale, real-time visual-inertial localization revisited—0
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies—0
M3Act: Learning from Synthetic Human Group Activities—0
Learning to Refine Human Pose Estimation—0
Learning Whole-Body Loco-Manipulation for Omni-Directional Task Space Pose Tracking with a Wheeled-Quadrupedal-Manipulator—0
Low-latency Visual SLAM with Appearance-Enhanced Local Map Building—0
Machine Learning for LiDAR-Based Navigation System—0
Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance—0
Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery—0
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone—0
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes—0
Movement science needs different pose tracking algorithms—0
MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints—0
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor—0
Multi-person Articulated Tracking with Spatial and Temporal Embeddings—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