A study on the pupil detection using image processing：The Case for distracted driving

• Main Authors: SHIANG-JUNG YU, 項鈞煜
• Other Authors: CHU YEN-MING
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/8nuy4n

碩士 === 國立高雄科技大學 === 資訊管理系 === 107 === Due to lot of technology progress in nowdays, popularity of smart phone has increse. So the situation of distracted driving is getting more worsed. Because the most traffic accidents are caused by distracting, many studies of image processing are committed to support driver to focus on the road. Detections of distracted driving are divided into head feature, posture, hand positioning and so on. Further, head features can divide into facial expression, pupil identification, blink frequency, head angle and so on. And this study will use pupil detection to discuss. However, there are many factors affect accuracy in process of pupil detection. So this study focuses on evaluating various factors that may affect the system. Making a experiment and analyze to luminance, binarization, glasses, angle of camera setting, Frame Per Second, image resolution and so on. Further, evaluating the various factors to improve this system to better efficiency is the major goal in this study.