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Nov, 2017
浅层数据深度学习中的睡床姿态估计
In-Bed Pose Estimation: Deep Learning with Shallow Dataset
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Shuangjun Liu, Yu Yin, Sarah Ostadabbas
TL;DR
本文介绍了利用卷积神经网络、红外图像采集技术和方向梯度直方图矫正方法解决特殊环境下的床上人体姿势估计的问题。通过特定数据集和网络层有针对性地微调预训练的卷积姿态机器模型,使用HOG方法改善了模型的表现。
Abstract
Although human pose estimation for various
computer vision
(CV) applications has been studied extensively in the last few decades, yet
in-bed pose estimation
using camera-based vision methods has been ignored by
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