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Image segmentation is very essential and critical to image processing and pattern recognition. It is known that, color image segmentation approaches are based on monochrome segmentation approaches operating in different color spaces. So in this paper, an improved method which uses the FSVM (fuzzy support vector machines) algorithm for color image segmentation in the HSI (hue-saturation-intensity)...
Human detection is a new rising research area, involving pattern recognition, image processing, computer vision, human kinematics, artificial intelligence and machine learning and so on. It is a multi-disciplinary research direction. Head can be recognized by computer easily. The first feature selected by a robust and efficient human body detection system must be head features. Nowadays, the human...
The support vector machine (SVM) provides a robust, accurate and effective technique for pattern recognition and classification. Although the SVM is essentially a binary classifier, it can be adopted to handle multi-class classification tasks. The conventional way to extent the SVM to multi-class scenarios is to decompose an m-class problem into a series of two-class problems, for which either the...
This work is devoted to describe a potential use of the 1-dimensional Kohonen Networks in the automatic non-supervised classification of tissue in the human brain. Possible perspectives of application include the automatic delineation of areas on the cerebral map. One of the main aspects considered in this work is related to the fact that tissue classification obtained through Kohonen networks is...
A major problem among the elderly involves falling. The recognition of falls from video first requires the segmentation of the individual from the background. To ensure privacy, segmentation should result in a silhouette that is a binary map indicating only the body position of the individual in an image. We have previously demonstrated a segmentation method based on color that can recognize the silhouette...
A major problem among the elderly involves falling. The recognition of falls from video first requires the segmentation of the individual from the background. To ensure privacy, segmentation should result in a silhouette that is a binary map indicating only the body position of the individual in an image. We have previously demonstrated a segmentation method based on color that can recognize the silhouette...
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