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Object detection, and in particular pedestrian detection, is a challenging task, due to the wide variety of appearances. The application domain is extremely broad, ranging from e.g. surveillance to automotive safety systems. Many practical applications however often rely on stringent realtime processing speeds combined with high accuracy needs. These demands are contradictory, and usually a compromise needs to be made. In this paper we present a pedestrian detection framework which is extremelydoi:10.1109/cvprw.2013.94 dblp:conf/cvpr/SmedtBTG13 fatcat:mt3pqt54hfes7nc3bi46apgkt4