作者
Kirbana Jai Raman, Afizan Azman, Venosha Arumugam, Siti Zainab Ibrahim, Sumendra Yogarayan, Mohd Fikri Azli Abdullah, Siti Fatimah Abdul Razak, Anang Hudaya Muhamad Amin, Kalaiarasi Sonaimuthu
发表日期
2018/5/3
研讨会论文
2018 6th International Conference on Information and Communication Technology (ICoICT)
页码范围
343-347
出版商
IEEE
简介
Driver fatigue is one of the main reasons causing traffic accidents. Yawning is an important character of driver fatigue. Mouth geometric character represents state of driver. So driver's mouth detection and information extraction is especially important. This paper proposes to locate and track driver's yawning based on mouth using camera to detect driver's fatigue in driving environment. Then contour algorithm features to detect driver's yawning and track it according to historical position. At last, yawning is detected by the ratio of mouth in the name of dark region as when he mouth is widely open. Through this method the resolution ratios which are transferred to percentage of driver's mouth is higher than one camera and the feature information to be more accuracy. The head movement is partially a phase where the fatigue would be detected by using face detection itself to detect the head movement. In order to get a …
引用总数
201920202021202220232024331111
学术搜索中的文章
KJ Raman, A Azman, V Arumugam, SZ Ibrahim… - 2018 6th International Conference on Information and …, 2018