Face Recognition System Using Local Autocorrelations and Multiscale Integration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection and Tracking of Facial Features in Video Sequences
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Real-Time Multiple Face Detection Using Active Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Robust Real-Time Face Detection
International Journal of Computer Vision
Eye Tracking Using Markov Models
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
A novel approach to 3-D gaze tracking using stereo cameras
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, we propose a vision-based real time algorithm for driver fatigue detection. Face and eyes of the driver are first localized and then marked in every frame obtained from the video source. The eyes are tracked in real time using correlation function with an automatically generated online template. The proposed algorithm can detect eyelids movement and can classify whether the eyes are open or closed by using normalized cross correlation function based classifier. If the eyes are closed for more than a specified time an alarm is generated. The accuracy of algorithm is demonstrated using real data under varying conditions for people with different gender, skin colors, eye shapes and facial hairs.