Detection of Round Ban Traffic Signs in Natural Environment

LI Yingsong; ZHENG Shunyi; XIA Yuanxin; WANG Zheng

doi:10.13203/j.whugis20140638

Volume 41 Issue 12

Dec. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(12): 1619-1625. > DOI: 10.13203/j.whugis20140638

LI Yingsong, ZHENG Shunyi, XIA Yuanxin, WANG Zheng. Detection of Round Ban Traffic Signs in Natural Environment[J]. Geomatics and Information Science of Wuhan University, 2016, 41(12): 1619-1625. DOI: 10.13203/j.whugis20140638

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Detection of Round Ban Traffic Signs in Natural Environment

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

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The National Natural Science Foundation of China No.41671452

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LI Yingsong, postgraduate, specializes in computer vision and digital photogrammetry. E-mail:rs_lys@163.com
Received Date: November 15, 2014
Published Date: December 04, 2016

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Abstract

Abstract

In this paper, a new fast, stable automatic detection method for round ban traffic signs is proposed. Color segmentation based on RGB color space is conducted on sign images. Given the poor adaptability of segmenting by calculating direct difference between channels and setting fixed thresholds, a novel self-adaptive method is proposed that calculates the relative channel difference and fitting threshold curve based on selecting a basic channel. Meanwhile, a gradient filter method separates the signs from its background with the same red color. Edges are extracted and a method of error estimation after least square ellipse fitting screens out the sign edges. Experimental results show that the method presented in this paper can automatically detect round ban traffic signs from sign images of deferent brightness in natural environments, with good prospects in Intelligent transportation as it is stable and applicable in real-time.
- round ban traffic signs detection,
- color segmentation,
- threshold curve,
- gradient filter,
- error estimation after fitting

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[1]	齐飞. 交通标志识别技术研究[D]. 北京:北京交通大学, 2013 http://cdmd.cnki.com.cn/Article/CDMD-10004-1013278400.htm Qi Fei. Study on Traffic Sign Recognition Technology[D]. Beijing:Beijing Jiaotong University, 2013 http://cdmd.cnki.com.cn/Article/CDMD-10004-1013278400.htm
[2]	Rubel B, Hasan F, Moin M. Detection and Classification of Speed Limit Traffic Signs[C].Computer Applications and Information Systems (WCCAIS), Hammamet, Tunisia, 2014
[3]	Sorn S, Toshiaki K. Red Traffic Light Detection Using Fast Radial Symmetry Transform[C]. 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Nakhon Ratchasima, 2014
[4]	Wang G, Ren G, Wu Z, et al. A Robust, Coarse-tofine Traffic Sign Detection Method[C]. Int. Joint Conf Neural Netw., Dallas, USA, 2013
[5]	Salti S, Petrelli A, Tombari F, et al, A Traffic Sign Detection Pipeline Based on Interest Region Extraction[C]. Int. Joint Conf. Neural Netw., Dallas, USA, 2013
[6]	陈龙, 潘志敏, 毛庆洲,等. 利用HOG-LBP自适应融合特征实现禁令交通标志检测[J]. 武汉大学学报·信息科学版, 2013, 38(2):191-194 http://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201302016.htm Chen Long, Pan Zhimin, Mao Qingzhou, et al. HOG-LBP Adaptable Fused Features Based Medthod for Forbidden Traffic Signs Detection[J].Geomatics and Information Science of Wuhan University, 2013,38(2):191-194 http://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201302016.htm
[7]	张卡, 盛业华, 叶春. 针对车载移动测量系统的交通标志自动检测[J]. 武汉大学学报·信息科学版, 2009, 34(12):1448-1453 http://ch.whu.edu.cn/CN/abstract/abstract1466.shtml Zhang Ka, Sheng Yehua, Ye Chun. Automatic Traffic Sign Detection Based on a Vehicle-Borne Mobile Mapping System[J]. Geomatics and Information Science of Wuhan University, 2009,34(12):1448-1453 http://ch.whu.edu.cn/CN/abstract/abstract1466.shtml
[8]	孙光民, 王晶, 于光宇, 等. 自然背景中交通标志的检测与识别[J]. 北京工业大学学报, 2010, 36(10):1337-1343 http://www.cnki.com.cn/Article/CJFDTOTAL-BJGD201010008.htm Sun Guangmin, Wang Jing, Yu Guangyu, et al. The Detection and Recognition of Traffic Signs in Natural Scenes[J]. Journal of Beijing University of Technology, 2010,36(10):1337-1343 http://www.cnki.com.cn/Article/CJFDTOTAL-BJGD201010008.htm
[9]	王慧敏. 智能辅助驾驶系统中的禁令交通标志识别方法研究[D]. 成都:西南交通大学, 2013 http://cdmd.cnki.com.cn/Article/CDMD-10613-1013251391.htm Wang Huimin. Research on Prohibition Traffic Sign Recognition Method in Intelligent Driver Assistance System[D]. Chengdu:Southwest Jiaotong University, 2013 http://cdmd.cnki.com.cn/Article/CDMD-10613-1013251391.htm
[10]	徐迪红, 唐炉亮. 基于颜色和标志边缘特征的交通标志检测[J]. 武汉大学学报·信息科学版, 2008, 33(4):433-436 http://ch.whu.edu.cn/CN/abstract/abstract1523.shtml Xu Dihong, Tang Luliang. Traffic Sign Detection Based on Color and Boundary Feature[J].Geomatics and Information Science of Wuhan University, 2008, 33(4):433-436 http://ch.whu.edu.cn/CN/abstract/abstract1523.shtml
[11]	李厚杰, 邱天爽, 宋海玉, 等. 基于径向对称变换的自适应交通禁令标志检测[J].光电子·激光, 2014, 25(3):532-539 http://www.cnki.com.cn/Article/CJFDTOTAL-GDZJ201403020.htm Li Houjie, Qiu Tianshuang, Song Haiyu, et al. Adaptive Traffic Prohibitive Sign Detection Based on Radial Symmetry Transform[J]. Journal of Optoelectronics·Laser, 2014, 25(3):532-539 http://www.cnki.com.cn/Article/CJFDTOTAL-GDZJ201403020.htm
[12]	Kamada H, Naoi S, Gotoh T. A Compact Navigation System Using Image Processing and Fuzzy Control[J].Southeastcon Proceedings, 1990, 1:337-342 http://cn.bing.com/academic/profile?id=2096665443&encoded=0&v=paper_preview&mkt=zh-cn
[13]	周广波. 基于颜色和形状分析的交通标志检测[D]. 大连:大连理工大学, 2013 Zhou Guangbo. Traffic Sign Detection Based on Color and Shape Features[D]. Dalian:Dalian University of Technology, 2013
[14]	张宁, 何铁军, 高朝晖, 等. 道路场景中交通标志的检测方法[J]. 交通运输工程学报, 2008, 8(6):104-109 http://www.cnki.com.cn/Article/CJFDTOTAL-JYGC200806022.htm Zhang Ning, He Tiejun, Gao Zhaohui, et al. Detection Method of Traffic Signs in Road Scenes[J]. Journal of Traffic and Transportation Engineering, 2008, 8(6):104-109 http://www.cnki.com.cn/Article/CJFDTOTAL-JYGC200806022.htm
[15]	Maldonado B S, Lafuente A S, Gil J P, et al. Road-sign Detection and Recognition Based on Support Vector Machines[J]. IEEE Transactions on Intelligent Transportation Systems, 2007, 8(2):264-278 doi: 10.1109/TITS.2007.895311
[16]	Timofte R, Zimmermann K, Van Gool L. Multi-view Traffic Sign Detection, Recognition, and Localisation[J]. Machine Vison and Applications, 2014, 25(3):633-647 doi: 10.1007/s00138-011-0391-3
[17]	Sallah S S M, Hussin F A, Yusoff M Z. Road Sign Detection and Recognition System for Real-time Embedded Applications[C]. Electrical, Control and Computer Engineering(INECCE), Pahang, Malaysia, 2011
[18]	Hasan F, Rubel B, Erfan D. Traffic Sign Detection Based on AdaBoost Color Segmentation and SVM Classification[C]. EUROCON, Zagreb, 2013
[19]	Abderrahim S, Brahim M, Mohamed F.Robust Automatic Traffic Signs Detection Using Fast Polygonal Approximation of Digital Curves[C]. Multimedia Computing and Systems (ICMCS), 2014 International Conference on, Marrakech, Morocco, 2014

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