3d human pose estimation: A review of the literature and analysis of covariates
Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …
significant attention from the scientific community. The main reasons for this trend are the …
Towards accurate multi-person pose estimation in the wild
We propose a method for multi-person detection and 2-D pose estimation that achieves
state-of-art results on the challenging COCO keypoints task. It is a simple, yet powerful, top …
state-of-art results on the challenging COCO keypoints task. It is a simple, yet powerful, top …
Self-supervised learning of 3d human pose using multi-view geometry
Training accurate 3D human pose estimators requires large amount of 3D ground-truth data
which is costly to collect. Various weakly or self supervised pose estimation methods have …
which is costly to collect. Various weakly or self supervised pose estimation methods have …
Tessetrack: End-to-end learnable multi-person articulated 3d pose tracking
We consider the task of 3D pose estimation and trackingof multiple people seen in an
arbitrary number of camerafeeds. We propose TesseTrack, a novel top-down approachthat …
arbitrary number of camerafeeds. We propose TesseTrack, a novel top-down approachthat …
Human pose estimation using deep learning: review, methodologies, progress and future research directions
Human pose estimation (HPE) has developed over the past decade into a vibrant field for
research with a variety of real-world applications like 3D reconstruction, virtual testing and re …
research with a variety of real-world applications like 3D reconstruction, virtual testing and re …
Voxelpose: Towards multi-camera 3d human pose estimation in wild environment
We present VoxelPose to estimate 3D poses of multiple people from multiple camera views.
In contrast to the previous efforts which require to establish cross-view correspondence …
In contrast to the previous efforts which require to establish cross-view correspondence …
On self-contact and human pose
People touch their face 23 times an hour, they cross their arms and legs, put their hands on
their hips, etc. While many images of people contain some form of self-contact, current 3D …
their hips, etc. While many images of people contain some form of self-contact, current 3D …
Fast and robust multi-person 3d pose estimation from multiple views
This paper addresses the problem of 3D pose estimation for multiple people in a few
calibrated camera views. The main challenge of this problem is to find the cross-view …
calibrated camera views. The main challenge of this problem is to find the cross-view …
Posetrack: Joint multi-person pose estimation and tracking
In this work, we introduce the challenging problem of joint multi-person pose estimation and
tracking of an unknown number of persons in unconstrained videos. Existing methods for …
tracking of an unknown number of persons in unconstrained videos. Existing methods for …
Direct multi-view multi-person 3d pose estimation
Abstract We present Multi-view Pose transformer (MvP) for estimating multi-person 3D poses
from multi-view images. Instead of estimating 3D joint locations from costly volumetric …
from multi-view images. Instead of estimating 3D joint locations from costly volumetric …