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The segmentation of skin color region is carried on through the mathematics morphology processing, using Hough transform to locate the eyes, and then the expression image is proceeded by geometry standardization. After using wavelet transform to reduce the dimension of images, the feature extraction of facial expression can be realized with the discrimination of improved Fishier. It can solve actual...
It designed a driver fatigue detection system using the eye's open and close status for decision. It firstly uses an adaptive skin color region for face segmentation. After that, the face region gradient is calculated and adaptively thresholded. It uses a color HOG algorithm to pick out the eye region features. All eye feature vectors are pushed into the linear SVM classifier for training. Two stages...
This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit(ICU).In this research we have considered the facial changes most widely represented by eyes and mouth movements. The proposed system uses color images and it consists of three modules. The first module implements skin detection to detect the face. The second module constructs eye and...
In this study we propose a new system to detect and correct red eye defect in images. The proposed system works in three phases namely face localization, eye localization and red eye removal. Face localization involves method for extracting face from the image. Eye localization locates eye in the face extracted. The red eye defect, if present, is automatically detected and corrected using a simple...
This paper introduces an eye-verifier for reliable detection of eyes in facial color images. At first, the eye region candidates are searched by the circular filter to the binary face image. The eye candidates are then fed into an eye-verifier. The eye-verifier uses a ternary template, generated from the eye area consisting of iris, sclera and skin. Then the template matching is made by ternary Hamming...
Drowsiness detection is vital in preventing traffic accidents. Eye state analysis - detecting whether the eye is open or closed - is critical step for drowsiness detection. In this paper, we propose an easy algorithm for pupil center and iris boundary localization and a new algorithm for eye state analysis, which we incorporate into a four step system for drowsiness detection: face detection, eye...
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