Implementation of an eye-tracking system using Kernelized Correlation Filter.
| Autor: | Bo-Ren Zheng, 鄭博仁 |
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| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 In recent years, eye-tracking is already used in areas like psychology, human-computer interface and e-learning. In this study we made a wearable eye-tracking system.We hand-made a IR camera by modifying a commercially available webcam(MS HD-6000) and mounted it to a customized glasses frame. Such device is a wearable eye-tracking system which is able to record a clear video of eye movement when the user wears the glasses frame. The most important feature of an effective eye-tracker is to locate and track the pupil movement correctly in realtime. In this research, we used Kernelized Correlation Filter to implement pupil location tracking. By using KCF and a self-developed circle-fitting algorithm, we are able to detect and track the pupil location accurately. In experimental results,compare manual and automatic detection of the pupil center, the average error of manual and automatic detection pupil center is 2.02 pixel, and the average error ofpupil radius is 1.1 pixel. In terms of execution speed, it only takes 0.0295 second to process an image, which is equivalent to 33.9 FPS (frame per second). Therefore,our eye-tracking system is fast enough to fulfill the real-time requirement and is ready to be used in many practical situations. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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