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 151175 of 191 papers

TitleStatusHype
Large-scale, real-time visual-inertial localization revisited0
Pose estimator and tracker using temporal flow maps for limbs0
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose TrackingCode0
Low-latency Visual SLAM with Appearance-Enhanced Local Map Building0
LightTrack: A Generic Framework for Online Top-Down Human Pose TrackingCode0
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Multi-person Articulated Tracking with Spatial and Temporal Embeddings0
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Human Pose Estimation using Motion Priors and Ensemble Models0
A Top-down Approach to Articulated Human Pose Estimation and Tracking0
Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields0
Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose0
Deep Model-Based 6D Pose Refinement in RGBCode0
Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM0
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object TrackingCode0
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving0
Robust pose tracking with a joint model of appearance and shape0
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos0
Joint Flow: Temporal Flow Fields for Multi Person Tracking0
Efficient Pose Tracking from Natural Features in Standard Web Browsers0
Learning to Refine Human Pose Estimation0
Simple Baselines for Human Pose Estimation and TrackingCode1
Statistical Sensor Fusion of a 9-DoF MEMS IMU for Indoor Navigation0
Pose Flow: Efficient Online Pose TrackingCode0
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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