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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)
作者部门机器人学研究室
关键词Automation Feature Extraction Image Segmentation Iterative Methods
发表期刊Journal of Software
ISSN1796-217X
2013
卷号8期号:10页码:2652-2659
收录类别EI
EI收录号20134116834735
产权排序1
摘要According 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.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/14049
专题机器人学研究室
通讯作者Gao HW(高宏伟)
作者单位1.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
推荐引用方式
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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