C. Chareonsak

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At present, most of the high performance arbitrary-shape object detection algorithms are based on statistical methods such as SVM (support vector machine) and AdaBoost method for frontal-view face detection was proposed by Viola in 2001. This method offered impressive accuracy at high speed. Thus, many medical applications requiring biometric and general(More)
A common problem when monitoring fetal ECG (FECG) signal is the interference by maternal ECG (MECG). The fetal heart is very small and thus the electrical current it generates is much lower than that of the mother. In order to extract the fetal ECG for proper clinical diagnostic, some adaptive filtering technique can be used to remove or suppress the(More)
Human face contour represents an important and useful information for face analysis. Here, we propose an improvement to the conventional active contour model, called Snake, and apply it in the application of face biometric; i.e. automatic detection and tracking of complex face contour. Fast and efficient motion detection and estimation methods are(More)
Face contour represents important information commonly applied in biometric applications using human face information. Here, we propose an improvement to the conventional active contour model, called Snake, in the application of face contour tracking. We propose using face detection method developed by P. Viola as a quick initialization method. A new energy(More)
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