NIGHT MODE PROHIBITORY TRAFFIC SIGNS DETECTION

被引:0
|
作者
Biswas, Rubel [1 ]
Khan, Arif [1 ]
Alom, Md. Zahangir [1 ]
Khan, Mumit [1 ]
机构
[1] BRAC Univ, Dept Comp Sci & Engn, Dhaka, Bangladesh
关键词
Traffic signs; MSRCR; Hough transform; RECOGNITION; RETINEX;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Prohibitory traffic signs play an important role in guiding, warning and regulating traffic system. As driving over the speed limit is often the major cause of accidents, detecting this group of prohibitory signs may reduce this danger. This paper presents an approach to detecting speed limit signs at night mode which is based on Multi-Scale Retinex Color Restoration and Hough Transform. Experiment to check the strength of this approach shows that approximately 96.6% of the prohibitory traffic signs invoked for this test were successfully detected. This test was carried out at dark mode images from different country.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] A Randomized Circle Detection Method With Application to Detection of Circular Traffic Signs
    Shen, Xiaolan
    Zhang, Jiangxin
    Meng, Li-Min
    Qian, Xiaohong
    Du, K. -L.
    2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013, : 555 - 560
  • [42] Road intersection detection using the YOLO model based on traffic signs and road signs
    Manongga W.E.
    Chen R.-C.
    Journal of Ambient Intelligence and Humanized Computing, 2024, 15 (08) : 3159 - 3171
  • [43] TRAFFIC SIGNS
    DEWAR, R
    INTERNATIONAL REVIEWS OF ERGONOMICS, 1989, 3 : 65 - 86
  • [44] Traffic Signs
    周庆宝
    阅读, 2013, (Z1) : 62 - 63
  • [45] TRAFFIC SIGNS
    MOORE, RL
    ERGONOMICS, 1966, 9 (03) : 283 - &
  • [46] Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems
    Siniosoglou, Ilias
    Sarigiannidis, Panagiotis
    Spyridis, Yannis
    Khadka, Anish
    Efstathopoulos, Georgios
    Lagkas, Thomas
    17TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2021), 2021, : 302 - 308
  • [47] Hole-based traffic sign detection method for traffic signs with red rim
    Gangyi Wang
    Guanghui Ren
    Lihui Jiang
    Taifan Quan
    The Visual Computer, 2014, 30 : 539 - 551
  • [48] Hole-based traffic sign detection method for traffic signs with red rim
    Wang, Gangyi
    Ren, Guanghui
    Jiang, Lihui
    Quan, Taifan
    VISUAL COMPUTER, 2014, 30 (05): : 539 - 551
  • [49] Semantic Segmentation Based Traffic Light Detection at Day and at Night
    Haltakov, Vladimir
    Mayr, Jakob
    Unger, Christian
    Ilic, Slobodan
    PATTERN RECOGNITION, GCPR 2015, 2015, 9358 : 446 - 457
  • [50] Influence of Headlight Level on Object Detection in Urban Traffic at Night
    Erkan, Anil
    Hoffmann, David
    Singer, Timo
    Schikowski, Julia Maria
    Kunst, Korbinian
    Peier, Markus Alexander
    Khanh, Tran Quoc
    APPLIED SCIENCES-BASEL, 2023, 13 (04):