Region-based active contours for video object segmentation with camera compensation

We present a new algorithm for the segmentation of moving objects in a video sequence acquired by a mobile camera using region-based active contours. Indeed, active contours are powerful tools for segmentation. However, as far as segmentation of moving objects is concerned, region-based terms must be incorporated in the evolution equation, in addition to classical boundary-based terms. We consequently propose a general framework for region-based active contours with a new Eulerian method to compute the evolution equation of the active contour. This general framework is then applied to the segmentation of moving objects from a sequence with a moving camera. We propose to jointly perform camera compensation and segmentation by taking directly into account the camera model in the criterion to minimize.