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In this paper, we develop a real-time pedestrian legs detection and tracking system that emphasizes on targeting the lower part of a human body. In the legs detection procedure, we evaluate two kinds of classifiers based on multilayer perceptron (MLP) and support vector machines (SVM) to determine whether pedestrian legs appear in a frame of the video sequence captured by a single webcam equipped...
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