Extraction of Video Objects via Surface Optimization and Voronoi Order
Journal of VLSI Signal Processing Systems
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This paper presents an object-based video modeling. Motion segmentation is performed at the initial frame to identify different coherently moving regions, called motion-objects. These regions are grouped to form objects. Each motion-object is fitted a content-based mesh, and tracked subsequently to the next frame via mesh motion estimation and compensation. The uncovered background region(s), which emerges when objects move, will be segmented so as to identify the new objects or occluded parts of already existing objects. The mesh model is modified to reflect the changes in object boundaries.