Locating Eye and Nose Features Precisely in IR Video Sequences for Predicting Driver Fatigue
Locating Eye and Nose Features Precisely in IR Video Sequences for Predicting Driver Fatigue
出处
《通讯和计算机（中英文版）》
2007年第1期75-81,共7页
Journal of Communication and Computer
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1杨明.宝马加装BMW Advanced Car Eye[J].汽车维修技师,2017,0(3):122-125.
-
2霍庆泽.欧宝眼——Opel-Eye辅助系统[J].世界汽车,2008(9):126-127.
-
3Sudeshna Sarkar.Eye in the Sky[J].ChinAfrica,2016,8(1):42-43.
-
4张海平.宁波海事局成立海事研究会 开创理论研究新起点[J].中国海事,2009(3):79-79.
-
5三坐标测量系统跟踪汽车检测[J].汽车制造业,2007(21):70-70.
-
6杨明.宝马加装随车记录仪[J].汽车维修技师,2015,0(5):115-117.
-
7英国道路政策发生变化[J].公安交通科技窗,2004(6):34-34.
-
8AutoBot eye智能行车记录仪 让“防碰瓷”变得赏心悦目[J].消费电子,2015,0(21):93-93. 被引量：1
-
9杨明.宝马加装Advanced Car Eye[J].汽车维修技师,2016,0(1):116-119.
-
10Elfadil A. Mohamed.Predicting Causes of Traffic Road Accidents Using Multi-class Support Vector Machines[J].通讯和计算机（中英文版）,2014,11(5):441-447.
