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Pedestrian detection is an important task in intelligent video surveillance systems. In this work, we propose a system aimed to detect pedestrians from images. Our approach begins by extracting feature's object and classify them by a Support Vector Machine in order to detect the presence of a pedestrian. We adopt a new image descriptor called Histograms of Oriented Laplacian (HOL), which extract the...
Vehicle detection is very important for automotive safety driver assistance system. This paper focused on improving the performance of vehicle detection system with single camera and proposed a HOG feature and SVM Based method for forward vehicle detection. The shadow underneath vehicle is the most important feature, so it can be utilized to detect vehicle at daytime. The shadow was segmented accurately...
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