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Traffic Signs Recognition Based on PCA-SIFT
Gao HW(高宏伟); Liu CY(刘传银); YU, Yang; Li B(李斌)
作者部门空间自动化技术研究室
会议名称11th World Congress on Intelligent Control and Automation (WCICA 2014)
会议日期June 29 - July 4, 2014
会议地点Shenyang, China
会议录名称Proceeding of the 11th World Congress on Intelligent Control and Automation
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码5070-5076
收录类别EI ; CPCI(ISTP)
EI收录号20152600977335
WOS记录号WOS:000393066205019
产权排序1
ISBN号978-1-4799-5825-2
关键词Traffic Signs Sift Pca-sift Recognition
摘要Traffic signs automatic recognition was researched in this paper. Traffic signs image preprocessing methods was introduced firstly. Secondly, feature extraction algorithm of traffic signs based on SIFT was elaborated, then a fast SIFT algorithm based on PCA dimensionality reduction was presented to extract the characteristics of traffic signs. Finally, the SVM classifier was studied. A large number of experimental results were completed to demonstrate the effectiveness and practicality of related algorithms.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15369
专题空间自动化技术研究室
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.School of Information Science and Engineering, Shenyang Ligong University, Ligong, China
推荐引用方式
GB/T 7714
Gao HW,Liu CY,YU, Yang,et al. Traffic Signs Recognition Based on PCA-SIFT[C]. Piscataway, NJ, USA:IEEE,2014:5070-5076.
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