The detection algorithm of locomotive drivers´ fatigue based on vision

Author

Youling Zhao ; Zheng Gao ; Wenxian Wu

Author_Institution

Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China

Volume

6

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2686

Lastpage

2690

Abstract

To do exact, real-time and non-contact detection of the locomotive driver´s fatigue, an algorithm based on vision is proposed in this paper. In color image of the locomotive driver, the human face is detected by combining the clustering characteristic of skin color in color space and basic human face features. Then, a new method of projection based on mask is designed for locating the eyes. Finally, the PERCLOS is adapted to recognize driving fatigue. The experiments validate the effectiveness and reliability of the algorithm.

Keywords

face recognition; feature extraction; image colour analysis; iris recognition; locomotives; pattern clustering; vision; PERCLOS; driving fatigue recognition; eyes location; human face detection; locomotive driver color image; locomotive driver fatigue detection; real-time noncontact detection; skin color clustering; Driver circuits; Face; Face detection; Fatigue; Humans; Image color analysis; Skin; PERCLOS; eyes location; fatigue detection; locomotive driving; vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647953

Filename

5647953