Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

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 …

Multi-person pose estimation and tracking serve as crucial steps for video understanding.
Most state-of-the-art approaches rely on first estimating poses in each frame and only then …

Human pose estimation aims at localizing human anatomical keypoints or body parts in the
input data (eg, images, videos, or signals). It forms a crucial component in enabling …

Multi-person pose tracking is an important element for many applications and requires to
estimate the human poses of all persons in a video and to track them over time. The …

Human pose estimation in two-dimensional images videos has been a hot topic in the
computer vision problem recently due to its vast benefits and potential applications for …

Infrared-guided aircraft usually faces complex interference, such as natural backgrounds
and infrared decoys, which decrease the performance of infrared target recognition models …

In the volleyball game, estimating the 3D pose of the spiker is very valuable for training and
analysis, because the spiker's technique level determines the scoring or not of a round. The …

In photoelectric countermeasure systems, the infrared imaging of missiles is critical for
automatic recognition and tracking technology of aerial targets. However, complex and …

Estimating human poses from a video is at the foundation of many visual intelligent systems.
Various convolutional neural networks have been proposed, achieving state‐of‐the‐art …