RETRACTED ARTICLE: Lane-mark extraction by frequency-based saliency visual attention

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

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


    Lane mark extraction and detection system gives vital infonnation for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transfonn (PFT) and Quadrature Phase Fourier Transfonn (QPFT), are implemented in the system and compared with each other according to detection rate. Through the comparison, PQFT, which simultaneously processes on four different channel shows its advantages over PFT, which works on only one intensity feature. The offered methods are tested on real traffic scenes images from VNMC-VIER Autovision database and it could detect discrete lane marks accurately.

    Original languageEnglish
    Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
    PublisherIEEE Computer Society
    Number of pages5
    ISBN (Print)9781424455386
    Publication statusPublished - 01 Jan 2010


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