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Mosaic of a video shot with multiple moving objects

In this paper we describe an application which takes a video shot as input and produces a compact representation composed by a background layer and segmented moving objects. We deal with the problems of global registration, super-resolution mosaicing, objects segmentation and tracking. Global registration is achieved with a graph-based technique that exploits situations when the camera returns to a previously seen area. Objects segmentation is based on motion analysis using a robust statistical model of the background. Tracking is based on blob matching using singular value decomposition.