CASIA OpenIR  > 精密感知与控制研究中心  > 人工智能与机器学习
High-speed Railway Real-time Localization Auxiliary Method based on Deep Neural Network
Dongjie Chen1,2; Wensheng Zhang1,2; Yang Yang1
2017-04
Conference Name13th International Conference of Computational Methods in Sciences and Engineering
Conference Date2017-4-15
Conference PlaceAthens,Greece
Abstract
High-speed railway intelligent monitoring and management system is composed of schedule integration, geographic information, location services, and data mining technology for integration of time and space data. Assistant localization is a significant submodule of the intelligent monitoring system. In practical application, the general access is to capture the image sequences of the components by using a high-definition camera, digital image processing technique and target detection, tracking and even behavior analysis method. In this paper, we present an end-to-end character recognition method based on a deep CNN network called YOLO-toc for high-speed railway pillar plate number. Different from other deep CNNs, YOLO-toc is an end-to-end multi-target detection framework, furthermore, it exhibits a state-of-art performance on real-time detection with a nearly 50fps achieved on GPU (GTX960). Finally, we realize a real-time but high-accuracy pillar plate number recognition system and integrate natural scene OCR into a dedicated classification YOLO-toc model.
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14583
Collection精密感知与控制研究中心_人工智能与机器学习
Corresponding AuthorWensheng Zhang
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Dongjie Chen,Wensheng Zhang,Yang Yang. High-speed Railway Real-time Localization Auxiliary Method based on Deep Neural Network[C],2017.
Files in This Item: Download All
File Name/Size DocType Version Access License
ICCMSE_2017_29_paper(466KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Dongjie Chen]'s Articles
[Wensheng Zhang]'s Articles
[Yang Yang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Dongjie Chen]'s Articles
[Wensheng Zhang]'s Articles
[Yang Yang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Dongjie Chen]'s Articles
[Wensheng Zhang]'s Articles
[Yang Yang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: ICCMSE_2017_29_paper-final-version_ICCMSE2017.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.