A Study on The IR-Image Based Driver Monitoring System Using Facial Landmarks
| Autor: | Zhi-Yu Yang, 楊芷瑀 |
|---|---|
| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 In recent years, there are many traffic accidents caused by drowsiness and distraction. Eating, drinking, speaking someone on the phone and typing a text message etc. while driving, those are the mostly reason for the inattention. Therefore, developed a robust driver monitoring systems is the big issue to prevent car accidents. This kind of system will detect driver drowsiness or distraction level, which can be analyzed by driver’s eyes and head movement. Our system will alarm the driver if the drowsiness or distraction level is high. Therefore, we propose a driver monitoring system using facial landmarks based on IR-image. First, we use Raspberry Pi No Infrared (NoIR) camera to get the video which can work daytime and nighttime. Then we use the Viola-Jones detector[6] to detect the face. Second, we use facial landmarks method to locate the facial features. In distraction detection, we use one coordinate of the face to classify whether the driver is distracting or not. If the driver is distracting then the drowsiness detection is not performed. In drowsiness detection algorithm, we combine PCA and LDA to extract eye features then classified by SVM to determine whether the eye region is the eye or not. Next, using PCA and LDA combine with the area of the eye, and also classified the eye status (opened or closed) by SVM. Experimental results demonstrate that our eye detection can achieve 90% accuracy in both daytime and nighttime, and in the eye status detection with a success rate of 85%. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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