Title :
Driver fatigue detection based on mouth information
Author :
Li, Lingling ; Chen, Yangzhou ; Le Xin
Author_Institution :
Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
Driver´s fatigue detection has been realized based on driver´s mouth geometrical features. It can give some information when driver is fatigue. For better speed and reliability, a new method which was based on combined Adaboost algorithm and particle filter was applied. Then the mouth verification was applied according to prior knowledge. Driver´s state was judged by the geometrical features in a period of time. As a result, the detection accuracy was improved. This method can meet the requirement of driver´s fatigue detection.
Keywords :
face recognition; particle filtering (numerical methods); traffic engineering computing; Adaboost algorithm; driver fatigue detection; driver mouth geometrical feature; mouth information; mouth verification; particle filter; Conferences; Driver circuits; Fatigue; Monitoring; Mouth; Particle filters; Real time systems; Adaboost algorithm; driver fatigue; mouth detection; particle filter; two cameras;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554645
