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Improving the precision of shot boundary detection is very important. This paper presents an algorithm for shot boundary detection based on SVM (support vector machine) in compressed domain. It uses the features, such as the type of macroblock, the difference between DC coefficients of two co-located blocks in successive frames and the type of frame, to segment a video into the shots by classifying...
Fall detection system for intelligent home care for elderly people is presented in this paper. The system includes human blob detection by non-parameter background substruction method, feature extraction from two minimum bounding boxes, and fall detection by a cascaded multi-SVM classifier. Besides falling down, other daily activities such as walk, jogging, sitting down, squatting down and immobility...
Support vector machines (SVMs) are a binary classification technique with a growing popularity in the field of machine learning. While SVMs have shown to deliver good classification performance, in itpsilas original formulation the technique can be computationally complex and therefore slow at run-time. In this paper we review and compare two approximation techniques that address the speed problem...
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