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Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network

文献类型：期刊论文

作者Luo, Hengliang1,2; Yang, Yi1; Tong, Bei1; Wu, Fuchao1; Fan, Bin1
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2018-04-01
卷号19期号:4页码:1100-1111
关键词Traffic Sign Detection Traffic Sign Classification Convolutional Neural Network Multi-task Learning
DOI10.1109/TITS.2017.2714691
文献子类Article
英文摘要Although traffic sign recognition has been studied for many years, most existing works are focused on the symbol-based traffic signs. This paper proposes a new data-driven system to recognize all categories of traffic signs, which include both symbol-based and text-based signs, in video sequences captured by a camera mounted on a car. The system consists of three stages, traffic sign regions of interest (ROIs) extraction, ROIs refinement and classification, and post-processing. Traffic sign ROIs from each frame are first extracted using maximally stable extremal regions on gray and normalized RGB channels. Then, they are refined and assigned to their detailed classes via the proposed multi-task convolutional neural network, which is trained with a large amount of data, including synthetic traffic signs and images labeled from street views. The post-processing finally combines the results in all frames to make a recognition decision. Experimental results have demonstrated the effectiveness of the proposed system.
WOS关键词CLASSIFICATION
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000429017300009
资助机构National High Technology Research and Development Program of China(2015AA124102) ; National Natural Science Foundation of China(61375043) ; Beijing Natural Science Foundation(4142057)
源URL[http://ir.ia.ac.cn/handle/173211/19824]  
专题自动化研究所_模式识别国家重点实验室_机器人视觉团队
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Hengliang,Yang, Yi,Tong, Bei,et al. Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2018,19(4):1100-1111.
APA Luo, Hengliang,Yang, Yi,Tong, Bei,Wu, Fuchao,&Fan, Bin.(2018).Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,19(4),1100-1111.
MLA Luo, Hengliang,et al."Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 19.4(2018):1100-1111.

入库方式： OAI收割

来源：自动化研究所

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