Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test
文献类型：期刊论文
| 作者 | Wang, Dongdong1 ; Hou, Xinwen1; Xu, Jiawei2; Yue, Shigang2; Liu, Cheng-Lin1,3; Cheng-Lin Liu
|
| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| 出版日期 | 2017-12-01 |
| 卷号 | 18期号:12页码:3290-3302 |
| 关键词 | Traffic Sign Detection Cascade System Fast Feature Extraction Saliency Test |
| DOI | 10.1109/TITS.2017.2682181 |
| 文献子类 | Article |
| 英文摘要 | Automatic traffic sign detection is challenging due to the complexity of scene images, and fast detection is required in real applications such as driver assistance systems. In this paper, we propose a fast traffic sign detection method based on a cascade method with saliency test and neighboring scale awareness. In the cascade method, feature maps of several channels are extracted efficiently using approximation techniques. Sliding windows are pruned hierarchically using coarse-to-fine classifiers and the correlation between neighboring scales. The cascade system has only one free parameter, while the multiple thresholds are selected by a data-driven approach. To further increase speed, we also use a novel saliency test based on mid-level features to pre-prune background windows. Experiments on two public traffic sign data sets show that the proposed method achieves competing performance and runs 2 similar to 7 times as fast as most of the state-of-the-art methods. |
| WOS关键词 | RECOGNITION ; SEGMENTATION ; VEHICLE |
| WOS研究方向 | Engineering ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:000418176800005 |
| 资助机构 | National Basic Research Program of China (973 Program)(2012CB316302) ; National Natural Science Foundation of China(61271306) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDA06040102) ; EU FP7 Project HAZCEPT(318907) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20021]  |
| 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 | Cheng-Lin Liu |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Lincoln, Sch Comp Sci, Lincoln LN6 7TS, England 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Dongdong,Hou, Xinwen,Xu, Jiawei,et al. Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2017,18(12):3290-3302. |
| APA | Wang, Dongdong,Hou, Xinwen,Xu, Jiawei,Yue, Shigang,Liu, Cheng-Lin,&Cheng-Lin Liu.(2017).Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,18(12),3290-3302. |
| MLA | Wang, Dongdong,et al."Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 18.12(2017):3290-3302. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。