|Description (include details on usage, files and paper references)||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
Antoine Vacavant, Thierry Chateau, Alexis Wilhelm and Laurent Lequièvre. A Benchmark Dataset for Foreground/Background Extraction. In ACCV 2012, Workshop: Background Models Challenge. November 2012, Daejeon, Korea.