High speed video monitoring system for eyelid movement measurements

The paper presents a high speed video processing algorithm designed to measure several parameters related to eyelid movements during blinking. First, the facial features of the subject are detected and tracked; then, the eye regions of interest are extracted using data regarding face orientation and eyebrows position. In the next stage, eye contour and representative lines for upper and lower eyelids are detected in each video sequence frame. Finally eyelid characteristics are extracted from the eyelid measurements data.