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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 171–180 of 191 papers

Title	Date	Tasks	Status
PoseTrack: A Benchmark for Human Pose Estimation and Tracking	Oct 27, 2017	Activity RecognitionMulti-Person Pose Estimation	CodeCode Available
PoseTrack: Joint Multi-Person Pose Estimation and Tracking	Nov 23, 2016	Multi-Person Pose EstimationMulti-Person Pose Estimation and Tracking	CodeCode Available
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior	Jul 21, 2022	Pose TrackingRepresentation Learning	CodeCode Available
An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and Mapping	Jan 2, 2023	Pose Tracking	CodeCode Available
How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking	Apr 21, 2020	Data AugmentationObject Tracking	CodeCode Available
Single camera pose estimation using Bayesian filtering and Kinect motion priors	May 20, 2014	2D Pose EstimationCamera Pose Estimation	CodeCode Available
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation	Nov 27, 2024	Imitation LearningObject	CodeCode Available
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers	Oct 2, 2022	Pose EstimationPose Tracking	CodeCode Available
Event-based Camera Pose Tracking using a Generative Event Model	Oct 7, 2015	Camera LocalizationEvent-based vision	CodeCode Available
Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia	Aug 22, 2023	Pose Tracking	CodeCode Available

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All datasets PoseTrack2017 PoseTrack2018 Multi-Person PoseTrack

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DetTrack	MOTA	64.09	—	Unverified
2	KeyTrack	MOTA	61.15	—	Unverified
3	LightTrack	MOTA	58.01	—	Unverified
4	HRNet-W48 COCO	MOTA	57.93	—	Unverified
5	MSRA (FlowTrack)	MOTA	57.81	—	Unverified
6	TML++ (MIPAL)	MOTA	54.46	—	Unverified
7	STAF	MOTA	53.81	—	Unverified
8	ProTracker	MOTA	51.82	—	Unverified
9	PoseFlow	MOTA	50.98	—	Unverified
10	PoseTrack	MOTA	48.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DetTrack	MOTA	64.3	—	Unverified
2	UniTrack	MOTA	63.5	—	Unverified
3	4DHumans + ViTDet	MOTA	61.9	—	Unverified
4	MSRA	MOTA	61.37	—	Unverified
5	TML++ (MIPAL)	MOTA	54.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PoseTrack	MOTA	28.2	—	Unverified