中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Traffic sign recognition technology based on BOW model

文献类型:期刊论文

作者Gao HW(高宏伟); Liu, Zhe; Jiang YQ(姜月秋); Li B(李斌)
刊名Journal of Software
出版日期2013
卷号8期号:10页码:2652-2659
关键词Automation Feature extraction Image segmentation Iterative methods
ISSN号1796-217X
产权排序1
中文摘要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.
收录类别EI
语种英语
公开日期2013-12-27
源URL[http://ir.sia.cn/handle/173321/14049]  
专题沈阳自动化研究所_机器人学研究室
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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