In-Bed Pose Estimation: Deep Learning With Shallow Dataset

In-Bed Pose Estimation: Deep Learning With Shallow Dataset

This paper presents a robust human posture and body parts detection method under a specific application scenario known as in-bed pose estimation. Although the human pose estimation for various computer vision (CV) applications has been studied extensively in the last few decades, the in-bed pose est...

Description complète

Détails bibliographiques
Auteurs principaux: Shuangjun Liu, Yu Yin, Sarah Ostadabbas
Format: Article
Langue:English
Publié: IEEE 2019-01-01
Collection:IEEE Journal of Translational Engineering in Health and Medicine
Sujets:
Convolutional neural network (CNN)
convolutional pose machine (CPM)
histogram of oriented gradient (HOG)
in-bed pose estimation
infrared selective (IRS)
Accès en ligne:https://ieeexplore.ieee.org/document/8611350/

Internet

https://ieeexplore.ieee.org/document/8611350/

Documents similaires