Title :
Fatigue detection based on the distance of eyelid
Author :
Dong, Wenhui ; Wu, Xiaojuan
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
A vision-based real-time driver fatigue detection method is proposed in this paper. Firstly, The face is located using the characteristics of skin colors, then the eyes are detected by projections and finding connected components and is used as the dynamic templates for eye tracking in the following frame. Finally, it can decide whether the driver is fatigue by detecting the distance change of the eyelid. The average correct rate for eye location and tracking can reach 98%, the correct rate for fatigue detection is 100%, the average precision rate is 90%.
Keywords :
computer vision; edge detection; image colour analysis; traffic engineering computing; driver fatigue detection method; eyelid; skin colors characteristic; vision-based real-time detection method; Accidents; Eyelids; Eyes; Face detection; Fatigue; Humans; Information science; Phase detection; Pixel; Skin;
Conference_Titel :
VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9005-9
DOI :
10.1109/IWVDVT.2005.1504626
