CASIA OpenIR  > 模式识别国家重点实验室  > 模式分析与学习
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
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2017-12-01
Volume18Issue:12Pages:3290-3302
SubtypeArticle
AbstractAutomatic 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.
KeywordTraffic Sign Detection Cascade System Fast Feature Extraction Saliency Test
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TITS.2017.2682181
WOS KeywordRECOGNITION ; SEGMENTATION ; VEHICLE
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000418176800005
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20021
Collection模式识别国家重点实验室_模式分析与学习
Corresponding AuthorCheng-Lin Liu
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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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