• DocumentCode
    3081678
  • Title

    A collection of benchmark images for traffic sign research

  • Author

    Gao, Xiaohong W.

  • Author_Institution
    Sch. of Eng. & Inf. Sci., Middlesex Univ., London, UK
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper details a collection of traffic signs that has been made available online to meet the current need of lack of standard datasets for evaluation and comparison of existing and future developed recognition systems of traffic signs, leading to the exploration of the breath of innovations and applications in the field. Examples on how to apply these data are also described with comparisons between a number of approaches on segmentations. This collection aims at improving the accuracy of sign recognition systems and expediting the processing speed. Within this remit, the images in the collection opt for 2D still pictures and are taken under controlled viewing conditions on London roads at the UK. The standard sign database employs British road signs (143 images), which are available at http://www.mitime.org/traffic_signs/, together with the collection (128 images) in this study.
  • Keywords
    image recognition; image segmentation; traffic engineering computing; visual databases; 2D still pictures; British road signs; London roads; UK; benchmark image collection; future developed recognition systems; image segmentations; standard datasets; standard sign database; traffic sign research; traffic signs; Cameras; Databases; Image color analysis; Image recognition; Image segmentation; Meteorology; Roads; CIECAM; benchmark datasets; recognition; segmentation; traffic signs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2011 17th International Conference on
  • Conference_Location
    Corfu
  • ISSN
    Pending
  • Print_ISBN
    978-1-4577-0273-0
  • Type

    conf

  • DOI
    10.1109/ICDSP.2011.6004883
  • Filename
    6004883