The invention discloses a
sight tracking method based on neural network head movement compensation, and the method comprises the following steps of respectively placing two
infrared sources on middle points of two side edges of a display screen, forming a
bright spot image on the surfaces of human corneas after the two
infrared sources are reflected by the human corneas, and enabling a dark
pupil effect to occur in
pupil images, and the method specifically comprises the following steps of statically calibrating a
fixation point; compensating head movement; and calculating the
fixation point by utilizing a
static mapping module and a head movement compensation module to form a dynamic
human eye fixation point matching module. Due to adoption of the scheme provided by the invention, requirements on hardware are low, only an ordinary camera and two
infrared sources are needed, the restriction of a three-dimensional tracking method in which multiple cameras are needed can be changed, the
system complexity and the needed computation volume can be greatly reduced, and the
sight tracking instantaneity can be improved; and in addition, the head movement is allowed, direct application can be realized through one-step calibration, repeated calibration is avoided, and main defects of the two-dimensional calibration method are overcome.