Colour-based bottom-up saliency for traffic sign detection

Anh Cat Le Ngo, Li Minn Ang, Kah Phoai Seng, Guoping Qiu

    Research output: Book chapter/Published conference paperConference paperpeer-review

    Abstract

    On roads, drivers can detect traffic sign extraordinarily fast and accurately; however, the computer vision system does not easily imitate this natural ability although using a lot of image processing techniques. This weakness can be tackled by a bottom-up visual saliency method based on traffic-sign colours which occupy certain ranges of RGB values. These values can be used to modulate the bottom-up visual saliency, so the proposed system can focus on traffic signs detection. The method is tested on the UNMC Automotive Vision Database and compared with results of the purely bottom-up visual saliency method.

    Original languageEnglish
    Title of host publicationICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
    Pages453-457
    Number of pages5
    DOIs
    Publication statusPublished - 01 Dec 2010
    Event2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur, Malaysia
    Duration: 05 Dec 201007 Dec 2010

    Conference

    Conference2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period05/12/1007/12/10

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