Percentage of Correct Parts (PCP) measures detection rate of limbs, where a limb is considered detected if the distance between the two predicted joint ...

This paper designs a simple yet efficient human pose estimation method, which infers the location and category of the joints and link them together to form ...

May 15, 2024 · Deep neural networks have revolutionized human pose detection, yet they are not without limitations. The complexity of these models demands ...

Feb 3, 2018 · Different body parts are taken as different objects, and a deep convolutional neural network (CNN) is trained to detect these parts. We take ...

Sep 8, 2021 · DeepPose was proposed by researchers at Google for Pose Estimation in the 2014 Computer Vision and Pattern Recognition conference.

The second part, called the prediction head, predicts human poses with the extracted features. The well-known networks like AlexNet [13] and ResNet. [38] show ...

Oct 4, 2023 · Pose estimation is a fundamental task in computer vision and artificial intelligence (AI) that involves detecting and tracking the position and orientation of ...

Sep 2, 2021 · Human pose estimation is the task of detecting and segmenting human figures in images. Learn how to do human pose estimation using different ...

Apr 5, 2024 · The objective of human pose estimation (HPE) derived from deep learning aims to accurately estimate and predict the human body posture in ...

In this paper, we propose a novel inference-embedded multi-task learning framework for predicting human pose from still depth images, which is implemented with ...