@inproceedings{d8dfe02fef9a4d9f9d0d159d66f499d8,
title = "Articulated pose estimation method research based on deep learning",
abstract = "This paper proposes an articulated pose estimation method based on DeepPose, improving it's estimation accuracy. Firstly, it analyzes and compares the advantages and disadvantages of Faster Rcnn and DeepPose in the field of articulated pose estimation, proposes the R-Optimization algorithm to reajust joints' bounding box properly. Secondly, through combining DeepPose and Faster Rcnn, an improved articulated pose estimation method is proposed, which is better than using DeepPose or Faster Rcnn separately.",
keywords = "Articulated pose estimation, Caffe, Convolution neural network, Deep learning",
author = "Kai Chen and Guitao Cao and Dan Meng and Wenming Cao",
note = "Publisher Copyright: {\textcopyright} by the International Institute of Informatics and Systemics.; 21st World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2017 ; Conference date: 08-07-2017 Through 11-07-2017",
year = "2017",
language = "英语",
series = "WMSCI 2017 - 21st World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
publisher = "International Institute of Informatics and Systemics, IIIS",
pages = "215--220",
editor = "Callaos, \{Nagib C.\} and Michael Savoie and Andres Tremante and Belkis Sanchez",
booktitle = "WMSCI 2017 - 21st World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
}