关键词: 视线估计, 角膜反射, 神经网络, 粒子群

Abstract: As a new way of information collecting and human-computer interaction, the research of eye tracking technology has become a hot direction in computer vision. The core technology of gaze tracking is the gaze estimation. To solve problems of existing gaze estimation method including complex calibration and restricted head movement, an improved algorithm based on two-dimensional pupil and corneal reflection technique is proposed. Under the condition of single camera and single light source, gaze estimation by single point calibration is implemented through the establishment of the pupils-corneal reflection model, individual difference error compensation, and head motion error compensation. The experimental results show that the algorithm has greater accuracy when head moves in a certain range.

Key words: gaze estimation, corneal reflection, neural networks, particle swarm