Eye blink detection using Local Binary Patterns

In the paper a novel approach to the problem of eye blink detection in video sequences is proposed. The introduced method is utilizing the technique of Local Binary Patterns (LBP), which enables to build a descriptor capturing the features of the current eye state. In the initial step, the histogram of LBP describing the open eye is constructed and afterwards it serves as a template, which is compared with the histogram of the LBP of subsequent frames. The eye blinks are detected as sharp peaks of the dissimilarity between the template and the histogram of the current frame. The efficiency of the proposed eye blink detector has been compared with the state-of-the-art approaches using two video databases. The analysis of the results shows that the proposed technique effectiveness is superior to the existing methods of eye blink detection.