Egocentric Pose Estimation
11 papers with code • 4 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Egocentric Pose Estimation
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KITTI
xR-EgoPose
UnrealEgo
SceneEgo
Most implemented papers
Ego-Pose Estimation and Forecasting as Real-Time PD Control
We propose the use of a proportional-derivative (PD) control based policy learned via reinforcement learning (RL) to estimate and forecast 3D human pose from egocentric videos.
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
facebookresearch/xR-EgoPose
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The quantitative evaluation, on synthetic and real-world datasets, shows that our strategy leads to substantial improvements in accuracy over state of the art egocentric approaches.
Estimating Egocentric 3D Human Pose in Global Space
jianwang-mpi/GlobalEgoMocap
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ICCV 2021
Furthermore, these methods suffer from limited accuracy and temporal instability due to ambiguities caused by the monocular setup and the severe occlusion in a strongly distorted egocentric perspective.
Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
KlabCMU/kin-poly
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NeurIPS 2021
By comparing the pose instructed by the kinematic model against the pose generated by the dynamics model, we can use their misalignment to further improve the kinematic model.
Scene-aware Egocentric 3D Human Pose Estimation
jianwang-mpi/SceneEgo
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CVPR 2023
To this end, we propose an egocentric depth estimation network to predict the scene depth map from a wide-view egocentric fisheye camera while mitigating the occlusion of the human body with a depth-inpainting network.
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
Self-supervised monocular depth estimation approaches suffer not only from scale ambiguity but also infer temporally inconsistent depth maps w. r. t.
Ego3DPose: Capturing 3D Cues from Binocular Egocentric Views
tho-kn/Ego3DPose
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We propose a new perspective-aware representation using trigonometry, enabling the network to estimate the 3D orientation of limbs.
Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
We propose a novel heatmap-to-3D lifting method composed of the Grid ViT Encoder and the Propagation Network.
A Survey on 3D Egocentric Human Pose Estimation
facebookresearch/xR-EgoPose
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Egocentric human pose estimation aims to estimate human body poses and develop body representations from a first-person camera perspective.
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation
chenhongyiyang/egoposeformer
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We also show that our method can be seamlessly extended to monocular settings, which achieves state-of-the-art performance on the SceneEgo dataset, improving MPJPE by 25. 5mm (21% improvement) compared to the best existing method with only 60. 7% model parameters and 36. 4% FLOPs.
