Traffic sign recognition by distorted template matching

Ryoki Takada, Jiro Katto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Traffic sign recognition contributes to the safety of drivers and people around the car. The system analyzes the road ahead images taken by on-vehicle camera, but blurred and distorted images make it difficult to recognize correct traffic sign. In this paper, we propose a method that deforms from ellipses to perfect circles and applies template matching with distorted sign templates.

    Original languageEnglish
    Title of host publication2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages416-418
    Number of pages3
    ISBN (Print)9781479951451
    DOIs
    Publication statusPublished - 2014 Feb 3
    Event2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan
    Duration: 2014 Oct 72014 Oct 10

    Other

    Other2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
    CountryJapan
    CityTokyo
    Period14/10/714/10/10

    Keywords

    • SIFT features
    • template matching
    • traffic sign recognition

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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  • Cite this

    Takada, R., & Katto, J. (2014). Traffic sign recognition by distorted template matching. In 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 (pp. 416-418). [7031263] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2014.7031263