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...

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Detalhes bibliográficos
Principais autores: Shuangjun Liu, Yu Yin, Sarah Ostadabbas
Formato: Artigo
Idioma:English
Publicado em: IEEE 2019-01-01
coleção:IEEE Journal of Translational Engineering in Health and Medicine
Assuntos:
Convolutional neural network (CNN)
convolutional pose machine (CPM)
histogram of oriented gradient (HOG)
in-bed pose estimation
infrared selective (IRS)
Acesso em linha:https://ieeexplore.ieee.org/document/8611350/

Internet

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

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