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 5160 of 191 papers

TitleStatusHype
Temporally Guided Articulated Hand Pose Tracking in Surgical VideosCode1
OpenApePose: a database of annotated ape photographs for pose estimationCode1
An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and MappingCode0
Event-based Camera Pose Tracking using a Generative Event ModelCode0
PoseTrack: Joint Multi-Person Pose Estimation and TrackingCode0
PoseTrack: A Benchmark for Human Pose Estimation and TrackingCode0
Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with DementiaCode0
Pose Flow: Efficient Online Pose TrackingCode0
POSE-ID-on—A Novel Framework for Artwork Pose ClusteringCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
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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