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SotA/Computer Vision/Pose Tracking

Pose Tracking

64 benchmarks191 papers

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.

<span class="description-source">Source: LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking </span>

Benchmarks

Pose Tracking on HumanML3D

FIDR Precision Top3DiversityMultimodality

Pose Tracking on KIT Motion-Language

FIDR Precision Top3DiversityMultimodality

Pose Tracking on AIST++

Beat alignment scoreFID

Pose Tracking on InterHuman

FIDR-Precision Top3MMDistMModality

Pose Tracking on PoseTrack2017

MOTAmAP

Pose Tracking on FineDance

fid_kBAS

Pose Tracking on Inter-X

FIDR-Precision Top3MMDistMModality

Pose Tracking on PoseTrack2018

MOTAmAPIDF1IDs

Pose Tracking on AIOZ-GDANCE

FIDMMCGenDivPFCGMRGMCTIF

Pose Tracking on LaFAN1

L2Q@5L2Q@15L2Q@30L2P@5L2P@15L2P@30NPSS@5NPSS@15NPSS@30

Pose Tracking on Motion-X

FIDTMR-R-Precision Top3TMR-Matching ScoreMModalityDiversity

Pose Tracking on BRACE

Frechet Inception DistanceBeat alignment scoreBeat DTW costFootwork averagePowermove averageToprock average

Pose Tracking on HumanAct12

AccuracyFIDMultimodality

Pose Tracking on Multi-Person PoseTrack

MOTAMOTP

Pose Tracking on Panoptic

3DMOTA

Pose Tracking on TMD

FIDBASMModalityMMDist

Pose Tracking on Trinity Speech-Gesture Dataset

Mean Opinion Score