Design And Study On Eye Location And Tracking System

The full-automatic perimeter is a primary armamentarium in vision inspection, which plays a key role in the early detection and treatment of glaucoma. During the process of vision inspection, it's necessary to monitor the fixation condition of examiner's eye. Therefore, to proceed the research on eye detection and tracking is particularly important.As an important subject in the field of pattern recognition and computer vision, the study on eye detection and location has been valued universally by researcher for a long time. In this paper, to design an accurate and fast eyes detection system, several target detection algorithms have been compared. Ultimately, cascade classifier based on integral image and Ababoost algorithm is adopt for eye detection and pupil localization.The detection results of video images show that the eye detection system based on Adaboost algorithm take higher requirements for frame rate. The System can hardly achieve a desired detection effect if there is a high frame rate.Therefore, CamShift algorithm is introduced for eye tracking, and it is a target tracking algorithm on the basis of color probability distribution. During the implementation of the algorithm, it's necessary to initialize a search window for the first frame image and figure out its centroid. Then, the search window for later image would be get by move the pupil centre to target centroid.However, CamShift is a semi-automatic tracking algorithm and a target search window must be initialized manually. In this paper, the problem is solved conveniently by a new method combined eye detection algorithm with CamShift.The eye images are captured by infrared CCD camera in the system. After comparing each frame of the pupil center with the center of the image window, vertical and horizontal coordinates of the position of the jaw bracket are adjusted by microcontroller on basis of Serial communication technology to ensure the accuracy of vision inspection.Eye location tracking system uses infrared CCD camera capture eye images. By comparing each frame of the pupil center is coincident with the center of the image window, using serial communication to send commands to the microcontroller to adjust vertical and horizontal coordinates of the position of the jaw bracket, making the pupil center is always in a fixed location, to ensure the accuracy of vision inspection. The software module is accomplished based on the platform of VC6.0 and OpenCV. The development cycle has been greatly shortened with the help of OpenCV library function. Additionally, major programming code and some experimental results was given in the end of the third chapter and fourth chapter.