Blink detection for real-time eye tracking

T. Morris, P. Blenkhorn, Farhan Zaidi

    Research output: Contribution to journalArticlepeer-review


    This work is motivated by our goal of providing non-contact head and eye based control of computer systems for people with motor difficulties. The system described here uses spatio-temporal filtering and variance maps to locate the head and find the eye-feature points, respectively. These feature points are accurately tracked in the succeeding frames by using a modified version of the Lucas-Kanade tracking algorithm with pyramidal implementation. Accurate head and eye tracking results are obtained at a processing rate of more than 30 frames per second (fps) in more than 90% cases with a low false positive blink detection rate of 0.01%. This is achieved under varying lighting conditions for people of different ethnicity, with and without wearing glasses. © 2002 Elsevier Science Ltd. All rights reserved.
    Original languageEnglish
    Pages (from-to)129-143
    Number of pages14
    JournalJournal of Network and Computer Applications
    Issue number2
    Publication statusPublished - Apr 2002


    Dive into the research topics of 'Blink detection for real-time eye tracking'. Together they form a unique fingerprint.

    Cite this