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 161170 of 191 papers

TitleStatusHype
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
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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