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Towards Real-Time Traffic Sign Detection and Classification
Yang, Yi1; Luo, Hengliang1; Xu, Huarong2; Wu, Fuchao1
2016-07-01
发表期刊IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷号17期号:7页码:2022-2031
文章类型Article
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.
关键词Traffic Sign Detection Traffic Sign Recognition Real-time Color Probability Model
WOS标题词Science & Technology ; Technology
DOI10.1109/TITS.2015.2482461
关键词[WOS]RECOGNITION ; ALGORITHMS
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Engineering ; Transportation
WOS类目Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号WOS:000379908100021
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12159
专题模式识别国家重点实验室_机器人视觉
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.
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