Research On Dynamic Eye Tracking Technology For Visual Computing

Eye movement is a typical problem in visual tracking and intelligent interaction.It is a hotspot in both artificial intelligence and behavioral research.The research on dynamic eye tracking has lasted for years and many schemes have been proposed to solve a variety of problems in this area.But these techniques do not give a good solution to data accuracy,real-time computing and other key problems.Especially,there is no effective understanding and explanation for the uncertainty factors on eye movement.The paper introduces the eye movement basic structure and basic theories.The main contributions and innovation of the thesis are as follows:1.This paper proposes an eye diagram pretreatment model based on linear approximation strategy.In dealing with continuous eye diagram,sometimes encountered eyelash or eyelid partially even heavily obscured the pupil,or the eye inherent jitter,and such factors as the blink of an eye,causing eye diagram handler cannot extract eye diagram data,known as the data interrupt.The blink of an eye is the biggest problem.This strategy effectively solves the data interrupt in the process of visual tracking caused by blink or eyelids cover pupil disruptions,using continuous frame approximate mathematical calculation to make up the missing data in the process of blink of an eye.2.This paper proposes an accuracy visual tracking positioning calibration algorithm based on pupil-corneal.People pay much attention to the fixation point coordinates and the line of sight direction of a target object in the field of view.How to calculate the one-to-one mapping relationship between the pupil-corneal fixation point and the field of view coordinates of the eye movement data with calibration is the difficulty.Visual positioning accuracy calibration algorithm based on pupil-corneal tracking model is better than single pupil tracking mode and single corneal tracking mode,which can more accurately locate.3.This paper analyzes and introduces the main consideration and research model of the smooth eye tracking.Based on that,it proposes the key technical indicators of eye tracking,known as attention and eye movement speed.The thesis describes the relevance of the tracking accuracy and the visual analysis relative to pupil dilation and contraction changes,and does many assumptions and experiments.The analysis shows that to study whether theattention focused on the visual task with the tendency of pupil changes is a feasible and effective solution.In conclusion,this thesis studies some difficult problems of eye tracking on visual computing,like real-time computing and data accuracy.The experimental results show that the proposed methods are valuable for related applications.