Traffic sign recognition technology based on BOW model
文献类型:期刊论文
作者 | Gao HW(高宏伟)![]() ![]() |
刊名 | Journal of Software
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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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