Human Pose Estimation (HPE) is the task that aims to predict the location of human joints
from images and videos. This task is used in many applications, such as sports analysis and …

The objective of human pose estimation (HPE) derived from deep learning aims to
accurately estimate and predict the human body posture in images or videos via the …

Human pose estimation in continuous video frames captured from complex coal mine
scenes is challenging. The video frames in this scene may suffer from problems such as …

Sign language provides a way for differently-abled individuals to express their feelings and
emotions. However, learning sign language can be challenging and time consuming. An …

This work targets to construct a robust human pose prior. However, it remains a persistent
challenge due to biomechanical constraints and diverse human movements. Traditional …

Human pose estimation in videos has long been a compelling yet challenging task within
the realm of computer vision. Nevertheless, this task remains difficult because of the …

Human pose estimation (HPE) from Radio Frequency vision (RF-vision) performs human
sensing using RF signals that penetrate obstacles without revealing privacy (eg, facial …

Two-dimensional human pose estimation aims to equip computers with the ability to
accurately recognize human keypoints and comprehend their spatial contexts within media …

Accurately tracking and analyzing human motion during aerobic exercise poses significant
challenges due to the dynamic complexity of human biomechanics. Traditional methods …

Human Pose Estimation is a computer vision technique utilized in various fields such as
healthcare, security, and sports to detect the pose of single or multi-person utilizing various …