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PIXEL WISE CLASSIFICATION MODELLINGTO DETECT AND TRACK MOVING VEHICLES

This paper presents an automatic vehicle detection system for aerial surveillance. In this system, we escape from the stereotype and existing frameworks of vehicle detection in aerial surveillance, which are either region based or sliding window based. We design a pixelwise classification method for vehicle detection. The novelty lies in the fact that, in spite of performing pixelwise classification, relations among neighboring pixels in a region are preserved in the feature extraction process.We consider features including vehicle colors and local features. For vehicle color extraction, we utilize a color transform to separate vehicle colors and nonvehicle colors effectively. We convert regional local features into quantitative observations that can be referenced when applying pixelwise classification via DBN.