acquiring face video data comprising a to-be-detected face;

detecting eye contours of the to-be-detected face from image frames of the face video data, and generating an eye contour sequence;

performing eye movement probability prediction based on the eye contour sequence, and generating an eye movement state sequence, the eye movement state sequence used to represent a movement condition of the eyes of the to-be-detected face, and the eye movement state sequence comprising a plurality of eye movement probabilities distributed in a time domain;

acquiring a first dataset and a second dataset in the eye movement state sequence, the first dataset comprising first N eye movement probabilities obtained after arrangement of the eye movement probabilities in the eye movement state sequence in descending order, and the second dataset comprising M consecutive eye movement probabilities comprising a maximum value in the eye movement state sequence, both N and M being positive integers;

determining a probability of existence of an abnormal blink behavior of the to-be-detected face according to the first dataset and the second dataset; and

determining that the to-be-detected face is a real face in response to the probability being less than a predetermined threshold.