The invention belongs to the technical field of
eyelid image processing, and discloses an intelligent
eyelid detection
system and method.The method comprises the steps that firstly, an
eyelid positioning
algorithm is used for positioning the position of an eyelid, an eyelid feature point detection method is used for positioning the position of a
canthus point, and the position of the eyelid is calculated through the
canthus point; the method comprises the following steps: establishing an iris template, then detecting the position of an eye region by using the iris template, positioning the position of an iris center through an iris center fine positioning
algorithm, and finally, taking the detected
canthus point and the iris center as eye motion vectors; a neural
network model is used, the eye
motion vector is used as input of a neural network, and a
fixation point mapping relation is established. According to the invention, a good effect is achieved, more stable
eye movement characteristics under head movement are selected, a single-camera light-source-
free system architecture is adopted, and a 2D
sight tracking method based on an
artificial neural network is used, so that better precision is achieved; the hardware requirement of the
system is reduced, the hardware cost is reduced, and the availability of the
system is enhanced.