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 101–125 of 191 papers

TitleStatusHype
Are High-Resolution Event Cameras Really Needed?—0
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object InteractionCode1
HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical GuidanceCode1
You Only Demonstrate Once: Category-Level Manipulation from Single Visual DemonstrationCode2
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose TrackingCode1
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies—0
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D SpaceCode1
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity TrackingCode1
SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real WorldCode1
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
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
VIPose: Real-time Visual-Inertial 6D Object Pose Tracking—0
Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements—0
Do Different Tracking Tasks Require Different Appearance Models?Code1
Improved Radar Localization on Lidar Maps Using Shared Embedding—0
GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger—0
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking—0
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview—0
Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic DomainsCode1
ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion—0
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence LearningCode1
POSE-ID-on—A Novel Framework for Artwork Pose ClusteringCode0
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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