Background Models Challenge (BMC) is a complete dataset and competition for the comparison of background subtraction algorithms. The main topics concern: - detection of moving objects, motion estimation - background / foreground modeling - signal, image processing - image segmentation - intelligent video-surveillance Reference: Antoine Vacavant, Thierry Chateau, Alexis Wilhelm and Laurent Lequivre. A Benchmark Dataset for Foreground/Background Extraction. In ACCV 2012, Workshop: Background Models Challenge. November 2012, Daejeon, Korea.