Polynomial fiber description of motion for video mosaicing

This paper is about two topics. First, given a video sequence, we introduce a Bayesian framework where background and moving objects are segmented into layers. The model that describes the different layer evolutions in a sequence of images uses the results of a multi-frame optical flow estimation (MFOFE); we present a new technique based on the fact that each pixel in the frame of reference produces a trajectory in the mosaic absolute coordinate system. The second topic is video summarization. A general moisaicing method is presented for describing the background and the trajectories of moving objects in a sequence of frames. Combining layer segmentation and mosaicing, we show different manners of encoding and visualizing temporal information, where the key point is the selection of a certain object in the images as reference in the evolution