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Traffic sign recognition technology based on BOW model
Gao HW(高宏伟); Liu, Zhe; Jiang YQ(姜月秋); Li B(李斌)
Department机器人学研究室
Source PublicationJournal of Software
ISSN1796-217X
2013
Volume8Issue:10Pages:2652-2659
Indexed ByEI
EI Accession number20134116834735
Contribution Rank1
KeywordAutomation Feature Extraction Image Segmentation Iterative Methods
AbstractAccording to several key technologies in automatic identification technology of traffic signs, this paper makes a detailed study. First of all, from traffic signs segmentation algorithm, a segmentation algorithm based on iterative segmentation and maximum variance between clusters of traffic signs is studied. Secondly, with feature extraction of traffic signs based on SIFT studied, the codebook is generated by these feature clustering and images are described by histograms using Bag of Words (BOW) model. Finally, multi-class classifier based on SVM is designed to classify traffic signs. The experimental results demonstrate the effectiveness and practicality of the BOW model classification algorithm based on the traffic sign images collected in the natural environment. © 2013 ACADEMY PUBLISHER.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14049
Collection机器人学研究室
Corresponding AuthorGao HW(高宏伟)
Affiliation1.School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Gao HW,Liu, Zhe,Jiang YQ,et al. Traffic sign recognition technology based on BOW model[J]. Journal of Software,2013,8(10):2652-2659.
APA Gao HW,Liu, Zhe,Jiang YQ,&Li B.(2013).Traffic sign recognition technology based on BOW model.Journal of Software,8(10),2652-2659.
MLA Gao HW,et al."Traffic sign recognition technology based on BOW model".Journal of Software 8.10(2013):2652-2659.
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