Title :
Study of the Eye-tracking Methods Based on Video
Author :
Mei, Zhan ; Liu, Jihong ; Li, Zhongfan ; Yang, Li
Author_Institution :
Coll. of Comput. Sci. & Eng., Shenyang Univ. of Chem. Technol., Shenyang, China
Abstract :
Driver fatigue is a chief cause of the traffic accidents. The key technologies for detecting driver fatigue are the real-time and effectively detecting and tracking of driver´s eyes. This paper studies the eye-tracking methods by the images of the driver´s face based on video cameras. Firstly, a Haar cascade classifier for the face is designed on the arithmetic of Viola-Jones and AdaBoost. Then the eye-tracking is realized by two-step location methods. The experimental results show that the methods discussed in this paper are accurate and robust.
Keywords :
Haar transforms; driver information systems; eye; face recognition; image classification; object tracking; road accidents; road traffic; video cameras; AdaBoost; Haar cascade classifier; Viola-Jones; driver eyes; driver face; driver fatigue detection; eye-tracking methods; traffic accidents; two-step location methods; video cameras; Complexity theory; Face; Fatigue; Feature extraction; Image edge detection; Real time systems; Training; driver fatigue; eye location; face location;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4577-0975-3
Electronic_ISBN :
978-0-7695-4482-3
DOI :
10.1109/CICSyN.2011.14
