Abstract
In the object-oriented mid-level image representation, moving images are decomposed into multiple global image regions undergoing different coherent motion, and then each global coherent motion region is described with its texture and region map along with its motion model. With regard to the global motion segmentation, this paper employs the strategy of a gradual migration from a simple local optical flow representation of motion to a compound global segmentation representation of motion, and presents a new matching-based robust local motion estimation algorithm with which we design to cope with the generalized aperture problem. Furthermore, this describes an iterative global motion segmentation algorithm for decomposing moving images into multiple global coherent motion regions, each of which conforms to a different global motion model.
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