Detection of driver's drowsy facial expression

Taro Nakamura, Akinobu Maejima, Shigeo Morishima

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

    8 Citations (Scopus)

    Abstract

    We propose a method for the estimation of the degree of a driver's drowsiness on basis of changes in facial expressions captured by an IR camera. Typically, drowsiness is accompanied by falling of eyelids. Therefore, most of the related studies have focused on tracking eyelid movement by monitoring facial feature points. However, textural changes that arise from frowning are also very important and sensitive features in the initial stage of drowsiness, and it is difficult to detect such changes solely using facial feature points. In this paper, we propose a more precise drowsiness-degree estimation method considering wrinkles change by calculating local edge intensity on faces that expresses drowsiness more directly in the initial stage.

    Original languageEnglish
    Title of host publicationProceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
    PublisherIEEE Computer Society
    Pages749-753
    Number of pages5
    DOIs
    Publication statusPublished - 2013
    Event2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa
    Duration: 2013 Nov 52013 Nov 8

    Other

    Other2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
    CityNaha, Okinawa
    Period13/11/513/11/8

    Fingerprint

    Cameras
    Monitoring

    Keywords

    • Drowsiness level estimation
    • Edge intensity
    • Face texture analysis
    • K-NN
    • Wrinkles detection

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

    Cite this

    Nakamura, T., Maejima, A., & Morishima, S. (2013). Detection of driver's drowsy facial expression. In Proceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 (pp. 749-753). [6778424] IEEE Computer Society. https://doi.org/10.1109/ACPR.2013.176

    Detection of driver's drowsy facial expression. / Nakamura, Taro; Maejima, Akinobu; Morishima, Shigeo.

    Proceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013. IEEE Computer Society, 2013. p. 749-753 6778424.

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

    Nakamura, T, Maejima, A & Morishima, S 2013, Detection of driver's drowsy facial expression. in Proceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013., 6778424, IEEE Computer Society, pp. 749-753, 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013, Naha, Okinawa, 13/11/5. https://doi.org/10.1109/ACPR.2013.176
    Nakamura T, Maejima A, Morishima S. Detection of driver's drowsy facial expression. In Proceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013. IEEE Computer Society. 2013. p. 749-753. 6778424 https://doi.org/10.1109/ACPR.2013.176
    Nakamura, Taro ; Maejima, Akinobu ; Morishima, Shigeo. / Detection of driver's drowsy facial expression. Proceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013. IEEE Computer Society, 2013. pp. 749-753
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