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 76–100 of 191 papers

TitleStatusHype
Multi-person Articulated Tracking with Spatial and Temporal Embeddings—0
Multi-person Physics-based Pose Estimation for Combat Sports—0
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor—0
Input-Output Extension of Underactuated Nonlinear Systems—0
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision—0
OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM—0
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking—0
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB—0
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles—0
Pose estimator and tracker using temporal flow maps for limbs—0
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos—0
You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects—0
3D Hand Pose Tracking and Estimation Using Stereo Matching—0
3D Human Pose Estimation for Free-form Activity Using WiFi Signals—0
3D Human Pose Estimation for Free-from and Moving Activities Using WiFi—0
6D Object Pose Tracking in Internet Videos for Robotic Manipulation—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—0
6N-DoF Pose Tracking for Tensegrity Robots—0
A Data-driven Approach for Human Pose Tracking Based on Spatio-temporal Pictorial Structure—0
A Gated Attention Transformer for Multi-Person Pose Tracking—0
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking—0
A Modular Edge Device Network for Surgery Digitalization—0
AnimePose: Multi-person 3D pose estimation and animation—0
Are High-Resolution Event Cameras Really Needed?—0
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes—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