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Motion estimation in image sequences is classically addressed under one of the two following forms: estimation of optical flow (instantaneous apparent motion over the whole image) and visual tracking (estimation of the motion of a certain scene region over time). Major progresses have been recently achieved on both fronts, with robust and accurate techniques available for each problem. However, these...
We present a method to segment objects of interest in video sequences by combining robust background and foreground point tracking with joint color and motion-based segmentation. Our approach is sequential in time, avoiding a global processing of the video, while being simple and generic. This makes the method attractive for online applications, including video editing or augmented reality, as it...
Dense point matching and tracking in image sequences is an open issue with implications in several domains, from content analysis to video editing. We observe that for long term dense point matching, some regions of the image are better matched by concatenation of consecutive motion vectors, while for others a direct long term matching is preferred. We propose a method to optimally estimate the correspondence...
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