Planar Gaze Parameter Detection in Gaze Tracking System with Active Infrared Light Source

doi:10.3969/j.issn.1000-1093.2012.08.002

Abstract

Abstract: In order to meet the requirements and improve the existing methods for parameter detection in gaze tracking system, an approach based on difference image of bright and dark pupils for planar gaze parameter detection was proposed. First, an iteration algorithm called AdaBoost was used to find human face, and according to the priori knowledge of facial features, the eye region was determined and marked in the dark pupil image preliminarily. Then, in difference image, a projection method was applied to locate the possible area of pupil, and pupil would be detected accurately by analyzing its shape and scale. Furthermore, edge detection and an ellipse fitting were used to extract the pupil center parameters, and in the corresponding pupil region in dark pupil image, Purkinje spot and its center parameters were detected. The planar gaze parameters were then calculated according to the center parameters of pupil and Purkinje spot. Applications in gaze tracking system show that the method can detect the planar sight parameters accurately.

Key words: information processing, gaze tracking, planar parameter of sight, bright pupil image, AdaBoost, pupil detection, ellipse fitting

CLC Number:

TP391.41

CHI Jian-nan， ZHANG Chuang， CHEN Kai， HU Tao. Planar Gaze Parameter Detection in Gaze Tracking System with Active Infrared Light Source[J]. Acta Armamentarii, 2012, 33(8): 902-911.

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