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Real-Time Eye Blink Detection using Facial Landmarks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00300884" target="_blank" >RIV/68407700:21230/16:00300884 - isvavai.cz</a>

  • Result on the web

    <a href="http://cmp.felk.cvut.cz/pub/cmp/articles/cech/Soukupova-CVWW-2016.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/cech/Soukupova-CVWW-2016.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real-Time Eye Blink Detection using Facial Landmarks

  • Original language description

    A real-time algorithm to detect eye blinks in a video sequence from a standard camera is proposed. Recent landmark detectors, trained on in-the-wild datasets exhibit excellent robustness against a head orientation with respect to a camera, varying illumination and facial expressions. We show that the landmarks are detected precisely enough to reliably estimate the level of the eye opening. The proposed algorithm therefore estimates the landmark positions, extracts a single scalar quantity, eye aspect ratio (EAR), characterizing the eye opening in each frame. Finally, an SVM classifier detects eye blinks as a pattern of EAR values in a short temporal window. The simple algorithm outperforms the state-of-the-art results on two standard datasets.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 21st Computer Vision Winter Workshop

  • ISBN

    978-961-90901-7-6

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    Slovenian Pattern Recognition Society

  • Place of publication

    Ljubljana

  • Event location

    Rimske Toplice

  • Event date

    Feb 3, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article