Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test
Wang, Dongdong1; Hou, Xinwen1; Xu, Jiawei2; Yue, Shigang2; Liu, Cheng-Lin1,3; Cheng-Lin Liu
2017-12-01
发表期刊IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷号18期号:12页码:3290-3302
文章类型Article
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.
关键词Traffic Sign Detection Cascade System Fast Feature Extraction Saliency Test
WOS标题词Science & Technology ; Technology
DOI10.1109/TITS.2017.2682181
关键词[WOS]RECOGNITION ; SEGMENTATION ; VEHICLE
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Engineering ; Transportation
WOS类目Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号WOS:000418176800005
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20021
专题模式识别国家重点实验室_模式分析与学习
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
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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.
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