Results 31 to 40 of about 60,919 (294)
Human pose estimation with heatmap-guided connection
Human pose estimation was an important direction in the field of computer vision, which is widely used in human activity recognition, human-computer interaction, etc, but the accuracy of human pose estimation methods is usually poor.
Wei WANG +3 more
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3D Human Pose Estimation = 2D Pose Estimation + Matching [PDF]
Demo code: https://github.com/flyawaychase ...
Ching-Hang Chen, Deva Ramanan
openaire +2 more sources
Self-Attention Network for Human Pose Estimation
Estimating the positions of human joints from monocular single RGB images has been a challenging task in recent years. Despite great progress in human pose estimation with convolutional neural networks (CNNs), a central problem still exists: the ...
Hailun Xia, Tianyang Zhang
doaj +1 more source
Human pose estimation refers to accurately estimating the position of the human body from a single RGB image and detecting the location of the body. It serves as the basis for several computer vision tasks, such as human tracking, 3D reconstruction, and ...
Chengpeng Duan +3 more
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Personalizing Human Video Pose Estimation [PDF]
We propose a personalized ConvNet pose estimator that automatically adapts itself to the uniqueness of a person's appearance to improve pose estimation in long videos. We make the following contributions: (i) we show that given a few high-precision pose annotations, e.g.
Charles, J +4 more
openaire +4 more sources
Deep 3D human pose estimation: A review [PDF]
Three-dimensional (3D) human pose estimation involves estimating the articulated 3D joint locations of a human body from an image or video. Due to its widespread applications in a great variety of areas, such as human motion analysis, human–computer ...
Xu, S. +6 more
core +1 more source
Shift Pose: A Lightweight Transformer-like Neural Network for Human Pose Estimation
High-performing, real-time pose detection and tracking in real-time will enable computers to develop a finer-grained and more natural understanding of human behavior. However, the implementation of real-time human pose estimation remains a challenge.
Haijian Chen, Xinyun Jiang, Yonghui Dai
doaj +1 more source
On the Robustness of Human Pose Estimation
Accepted in CVPR ...
Sahil Shah +3 more
openaire +3 more sources
Human pose and path estimation from aerial video using dynamic classifier selection [PDF]
We consider the problem of estimating human pose and trajectory by an aerial robot with a monocular camera in near real time. We present a preliminary solution whose distinguishing feature is a dynamic classifier selection architecture.
Perera, Asanka G. +2 more
core +1 more source
A novel dataset and deep learning-based approach for marker-less motion capture during gait [PDF]
Background: The deep learning-based human pose estimation methods, which can estimate joint centers position, have achieved promising results on the publicly available human pose datasets (e.g., Human3.6 M).
KHALIFÉ, Marc +6 more
core +1 more source

