Results 11 to 20 of about 60,919 (294)
Low-resolution human pose estimation [PDF]
Human pose estimation has achieved significant progress on images with high imaging resolution. However, low-resolution imagery data bring nontrivial challenges which are still under-studied. To fill this gap, we start with investigating existing methods and reveal that the most dominant heatmap-based methods would suffer more severe model performance ...
Chen Wang 0136 +3 more
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Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision
The accurate estimation of a 3D human pose is of great importance in many fields, such as human–computer interaction, motion recognition and automatic driving.
Wenxia Bao +4 more
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Human Pose Estimation Using Thermal Images
This study addresses the human pose estimation problem on thermal images using Convolutional Neural Networks and Vision Transformer architectures. To do this, eight human pose estimation methods designed for visible images were extended to be applied in ...
Javier Smith +2 more
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Human Pose Co-Estimation and Applications [PDF]
Most existing techniques for articulated Human Pose Estimation (HPE)consider each person independently. Here we tackle the problem in a new setting,coined Human Pose Coestimation (PCE), where multiple people are in a common,but unknown pose. The task of PCE is to estimate their poses jointly and toproduce prototypes characterizing the shared pose ...
Eichner, M., Ferrari, V.
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Labelled silhouettes for human pose estimation
This paper proposes a new method of using foreground silhouette images for human pose estimation. Labels are introduced to the silhouette images, providing an extra layer of information that can be used in the model fitting process. The pixels in the silhouettes are labelled according to the corresponding body part in the model of the current fit, with
Daniel Chen 0002, Clinton Fookes
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Evaluation of Camera Pose Estimation Using Human Head Pose Estimation [PDF]
AbstractWe introduce and evaluate a novel camera pose estimation framework that uses the human head as a calibration object. The proposed method facilitates extrinsic calibration from 2D input images (NIR and/or RGB), while merely relying on the detected human head, without the need for depth information. The approach is applicable to single cameras or
Robert Fischer 0009 +2 more
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Human pose estimation with supervoxels
This thesis investigates how segmentation as a preprocessing step can reduce both the search space as well as complexity of human pose estimation in the context of smart environments. A 3D reconstruction is computed with a voxel carving algorithm. Based on a superpixel algorithm, these voxels are segmented into supervoxels that are then applied to ...
Schick, Alexander
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Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology [PDF]
This study focuses on integrating optical and radar sensors for human pose estimation. Based on the physical correspondence between the continuous-time micromotion accumulation and pose increment, a single-channel ultra-wideband radar human pose ...
Kemeng LI +5 more
doaj +2 more sources
Human Pose Estimation Algorithm Using Optimized Symmetric Spatial Transformation Network
Human posture estimation is a crucial topic in the computer vision field and has become a hotspot for research in many human behaviors related work. Human pose estimation can be understood as the human key point recognition and connection problem.
Shengqing Lin +3 more
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Human pose estimation with general contact
Existing human pose estimation methods seldom consider the impact or constraint of different types of contact. In this paper, we elaborate on the impact of both body-scene contact and self-contact on pose estimation and refer to them as general contact ...
He Zhang +8 more
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