声明
摘要
Abstract
Content
Chapter 1：INTRODUCTION
1．1 Problem statement and thesis background
1．2 The driving behavior monitoring
1．3 Research status
1．4 Thesis objectives
1．5 Related work
1．6 Thesis outlines
1．7 The chapter summary
Chapter 2：IMAGE PROCESSING TECHNOLOGIES
2．1 The image representation
2．2 The coordinate conventions
2．3 The images representation as matrices
2．4 Grayscale transforms
2．5 Histogram and Histogram Equalization
2．5．1 Histogram
2．5．2 The histogram equalization
2．6 The image binarization
2．7 The image filtering
2．7．1 The linear filtering
2．7．3 The median filter
2．8 The morphological image processing
2．8．1 The erosion and dilation
2．8．2 The opening and Closing
2．9．2The Sobel edge operator
2．9．3 Robert’s edge operator
2．9．4 Prewitt edge operator
2．9．6 The Canny edge operator
2．10 Chapter summary
Chapter3：IMAGE ACQUISITION AND FACE DETECTION
3．2．1．The feature-based face detection approaches
3．2．2．The image-based Face deteetion approaches
3．3 The diagram of the process
3．4．Kanade-Lucas-Tomasi(KLT)algorithm and S-PCA algorithm for face tracking
3．4．1 Introduction
3．4．2 The background process
3．4．3 Methodology
3．5．The results
3．6 Chapter conclusion
Chapter 4：MOUTH LOCALIZATION AND DETECTION
4．1 Introduction
4．2 Features
4．3 The AdaBoost Learning algorithm
4．4 Mouth localization
4．5 Theory of circular hough transform
4．5．1 Fatigue detection by analyzing the mouth
4．5．2 Circular hough transform for the detection of yawning
4．5．4 Application of the hough transforms circular
4．5．5 The confusion matrix
4．6 Chapter Summary
Chapter 5：Fatigue detection system and Support Vector machine
5．1 The yawning frequency System
5．2 The support Vrector Machine(SVM)
5．2．2The optimization problem
5．2．3 Kernel methods and nonljnear classification
5．2．4The support vector machines procedure
5．3 Implantation and designing
5．3．2 The face and mouth detection
5．3．3．Template Matching
5．3．4．Feature Extraction
5．3．5．The fatigue state classification(SVM)
5．4 Evaluation and results
5．5 Hardware software environment
5．5．1 MATLAB software
5．5．2 Hardware
Chapter 6：Conclusion and future work
6．1 Conclusion
6．2 Future work
REFERENCES
ACKNOWLEDGEMENT
