Pose Tracking
61 papers with code • 3 benchmarks • 10 datasets
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
Benchmarks
These leaderboards are used to track progress in Pose Tracking
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Libraries
Use these libraries to find Pose Tracking models and implementationsDatasets
PoseTrack
10,000 People - Human Pose Recognition Data
HOI4D
VBR
VR-Folding
Drunkard's Dataset
InfiniteRep
Most implemented papers
Multi-view consensus CNN for 3D facial landmark placement
The current state-of-the-art approaches have yet to gain from the dramatic increase in performance reported in human pose tracking and 2D facial landmark placement due to the use of deep convolutional neural networks (CNN).
Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
levenberg/2D-3D-pose-tracking
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With the pose prediction from VIO, we can efficiently obtain coarse 2D-3D line correspondences.
How to track your dragon: A Multi-Attentional Framework for real-time RGB-D 6-DOF Object Pose Tracking
ismarou/How_to_track_your_Dragon
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We present a novel multi-attentional convolutional architecture to tackle the problem of real-time RGB-D 6D object pose tracking of single, known objects.
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
wenbowen123/iros20-6d-pose-tracking
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Tracking the 6D pose of objects in video sequences is important for robot manipulation.
BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks
lixiny/bihand
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Inside each stage, BiHand adopts a novel bisecting design which allows the networks to encapsulate two closely related information (e. g. 2D keypoints and silhouette in 2D seeding stage, 3D joints, and depth map in 3D lifting stage, joint rotations and shape parameters in the mesh generation stage) in a single forward pass.
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
paninski-lab/deepgraphpose
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NeurIPS 2020
Noninvasive behavioral tracking of animals is crucial for many scientific investigations.
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
MichiganCOG/Surgical_Hands_RELEASE
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Additionally, we collect the first dataset, Surgical Hands, that provides multi-instance articulated hand pose annotations for in-vivo videos.
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
In this work we propose an approach for estimating 3D human poses of multiple people from a set of calibrated cameras.
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
HalfSummer11/CAPTRA
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ICCV 2021
For the first time, we propose a unified framework that can handle 9DoF pose tracking for novel rigid object instances as well as per-part pose tracking for articulated objects from known categories.
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
steve-tod/stfc3
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Previous cycle-consistency correspondence learning methods usually leverage image patches for training.
