Traffic Signs Recognition Based on PCA-SIFT
文献类型：会议论文
| 作者 | Gao HW(高宏伟) ; Liu CY(刘传银); YU, Yang; Li B(李斌)
|
| 出版日期 | 2014 |
| 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 |
| 关键词 | Traffic signs SIFT PCA-SIFT Recognition |
| 页码 | 5070-5076 |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | Proceeding of the 11th World Congress on Intelligent Control and Automation
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-5825-2 |
| 源URL | [http://ir.sia.cn/handle/173321/15369]  |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 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]. 见:11th World Congress on Intelligent Control and Automation (WCICA 2014). Shenyang, China. June 29 - July 4, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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