3D driver pose estimation based on joint 2D–3D network

Three‐dimensional (3D) driver pose estimation is a promising and challenging problem for computer–human interaction. Recently convolutional neural networks have been introduced into 3D pose estimation, but these methods have the problem of slow running speed and are not suitable for driving scenario...

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Bibliographic Details
Main Authors: Zhijie Yao, Yazhou Liu, Zexuan Ji, Quansen Sun, Pongsak Lasang, Shengmei Shen
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2019.0089