APPARATUS AND METHOD FOR GAZE TRACKING BASED ON MACHINE LEARNING

A device and a method for gaze tracking based on machine learning are proposed. In one aspect, the device includes an input unit configured to input an image including a face, and a feature point detection processor configured to detect first feature points in the image including the face. The device may also include a face direction detection processor configured to detect a direction of the face based on the detected first feature points, and an eye-ball direction detection processor configured to detect an eye-ball direction, which is a feature of an eye-ball, from the detected first feature points. The device may further include a model training processor configured to train a gaze tracking model by using the detected first feature points and the eye-ball direction, and a gaze tracking processor configured to perform gaze tracking by using a trained gaze tracking model.