Towards Real-Time Traffic Sign Detection and Classification
文献类型:期刊论文
作者 | Yang, Yi1; Luo, Hengliang1![]() ![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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出版日期 | 2016-07-01 |
卷号 | 17期号:7页码:2022-2031 |
关键词 | Traffic Sign Detection Traffic Sign Recognition Real-time Color Probability Model |
DOI | 10.1109/TITS.2015.2482461 |
文献子类 | Article |
英文摘要 | Traffic sign recognition plays an important role in driver assistant systems and intelligent autonomous vehicles. Its real-time performance is highly desirable in addition to its recognition performance. This paper aims to deal with real-time traffic sign recognition, i.e., localizing what type of traffic sign appears in which area of an input image at a fast processing time. To achieve this goal, we first propose an extremely fast detection module, which is 20 times faster than the existing best detection module. Our detection module is based on traffic sign proposal extraction and classification built upon a color probability model and a color HOG. Then, we harvest from a convolutional neural network to further classify the detected signs into their subclasses within each superclass. Experimental results on both German and Chinese roads show that both our detection and classification methods achieve comparable performance with the state-of-the-art methods, with significantly improved computational efficiency. |
WOS关键词 | RECOGNITION ; ALGORITHMS |
WOS研究方向 | Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:000379908100021 |
资助机构 | National Natural Science Foundation of China(61375043 ; Education Bureau of Fujian Province, China(JK2011044) ; Xiamen Science and Technology Plan through the University Innovation Project(3502Z20131158) ; 61273290) |
源URL | [http://ir.ia.ac.cn/handle/173211/12159] ![]() |
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.Xiamen Univ Technol, Xiamen 361024, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Yi,Luo, Hengliang,Xu, Huarong,et al. Towards Real-Time Traffic Sign Detection and Classification[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2016,17(7):2022-2031. |
APA | Yang, Yi,Luo, Hengliang,Xu, Huarong,&Wu, Fuchao.(2016).Towards Real-Time Traffic Sign Detection and Classification.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,17(7),2022-2031. |
MLA | Yang, Yi,et al."Towards Real-Time Traffic Sign Detection and Classification".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 17.7(2016):2022-2031. |
入库方式: OAI收割
来源:自动化研究所
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