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This paper presents a new approach for event detection from video surveillance data based on optical fow histogram with no prior knowledge of the motion nature. First,we start by estimating the motion from images sequence using optical flow technique. Second, we perform a classification using the histogram of the optical flow vectors and we use a chain coding algorithm that we applied to each class...
This paper proposed a method of geometrical learning (GL) for identifying mechanical fault patterns and its grades. The method aimed at optimal covering for each class, and constructed some complicated geometry bodies (CGBs) to cover one class samples distributing in the feature space approximately. The rolling bearing was studied by GL-based method in this paper, firstly, energy spectrum was extracted...
This paper presents a new approach to trajectory-based abnormal behavior detection (ABD). While existing techniques include position in the feature vector, we propose to estimate the probability distribution locally at each position, hence reducing the dimensionality of the feature vector. Local information derived from accumulated knowledge for a particular position is integrated in the distribution...
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