A Saliency-Based Cascade Method for Fast Traffic Sign Detection
文献类型：会议论文
| 作者 | Wang Dongdong1 ; Yue Shigang2; Xu Jiawei2; Hou Xinwen1; Liu Cheng-Lin1
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| 出版日期 | 2015-06 |
| 会议日期 | 2015-6-28-2015-7-1 |
| 会议地点 | 韩国首尔 |
| 关键词 | Traffic Sign Detection Cascade Neighbor Scale Awareness |
| DOI | 10.1109/IVS.2015.7225683 |
| 页码 | 180 - 185 |
| 英文摘要 | We propose a cascade method for fast and accurate traffic sign detection. The main feature of the method is that mid-level saliency test is used to efficiently and reliably eliminate background windows. Fast feature extraction is adopted in the subsequent stages for rejecting more negatives. Combining with neighbor scales awareness in window search, the proposed method runs at 3~5 fps for high resolution (1360×800) images, 2~7 times as fast as most state-of-the-art methods. Compared with them, the proposed method yields competitive performance on prohibitory signs while sacrifices performance moderately on danger and mandatory signs. |
| 会议录 | 2015 IEEE Intelligent Vehicles Symposium (IV)
 |
| 学科主题 | 模式识别与智能系统 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11750]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
| 通讯作者 | Wang Dongdong |
| 作者单位 | 1.中科院自动化研究所 2.英国林肯大学 |
| 推荐引用方式 GB/T 7714 | Wang Dongdong,Yue Shigang,Xu Jiawei,et al. A Saliency-Based Cascade Method for Fast Traffic Sign Detection[C]. 见:. 韩国首尔. 2015-6-28-2015-7-1. |
入库方式： OAI收割
来源：自动化研究所
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