A novel traffic sign recognition algorithm based on sparse representation and dictionary learning

doi:10.3233/JIFS-169310

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥智能机械研究所

	A novel traffic sign recognition algorithm based on sparse representation and dictionary learning
	Wang, Bin 1; Kong, Bin 1; Ding, Dawen 2; Wang, Can 1; Yang, Jing1
刊名	JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
	2017
卷号	32 期号:5 页码:3775-3784
关键词	Compressive Sensing Sparse Representation Traffic Sign Recognition Over-complete Dictionary Learning
DOI	10.3233/JIFS-169310
文献子类	Article
英文摘要	In this paper, we have proposed a novel traffic sign recognition algorithm based on sparse representation and dictionary learning. In the past period of research and applications of traffic sign recognition, most of the traffic sign recognition algorithms are based on statistical learning, neural networks and template matching algorithm. In these algorithms, they need high-dimensional mapping during classification, resulting in huge amount of calculation. Meanwhile, when the external environment changes, such as illumination, deformation and occlusion, the recognition rate will be further reduced. The proposed sparse representation theory has much better performance to solve the problems of external environment changed and while we use dictionary learning method to build a traffic sign over-complete redundant dictionary, the experimental results clearly showed that the algorithm we proposed has much better performance than traditional algorithm and also has much higher recognition rates.
WOS关键词	SUPPORT VECTOR MACHINES ; TUTORIAL
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000400023600044
资助机构	Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; Major Research Plan of the National Natural Science Foundation of China(91120307 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61304122 ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112) ; 61105112)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/33503]
专题	合肥物质科学研究院_中科院合肥智能机械研究所
作者单位	1.Chinese Acad Sci, Inst Intelligent Machine, Ctr Biomimet Sensing & Control Res, Hefei, Anhui, Peoples R China 2.Univ Sci & Technol China, West Campus, Hefei 230027, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Wang, Bin,Kong, Bin,Ding, Dawen,et al. A novel traffic sign recognition algorithm based on sparse representation and dictionary learning[J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2017,32(5):3775-3784.
APA	Wang, Bin,Kong, Bin,Ding, Dawen,Wang, Can,&Yang, Jing.(2017).A novel traffic sign recognition algorithm based on sparse representation and dictionary learning.JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,32(5),3775-3784.
MLA	Wang, Bin,et al."A novel traffic sign recognition algorithm based on sparse representation and dictionary learning".JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 32.5(2017):3775-3784.