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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Podrobná bibliografie
Hlavní autoři: Shuangjun Liu, Yu Yin, Sarah Ostadabbas
Médium: Článek
Jazyk:English
Vydáno: IEEE 2019-01-01
Edice:IEEE Journal of Translational Engineering in Health and Medicine
Témata:
Convolutional neural network (CNN)
convolutional pose machine (CPM)
histogram of oriented gradient (HOG)
in-bed pose estimation
infrared selective (IRS)
On-line přístup:https://ieeexplore.ieee.org/document/8611350/

Internet

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

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