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- W145868035 abstract "Motion segmentation is the problem of finding parts of the scene which possess independent 3D motion (such as people, animals or other objects like vehicles). This process is conceptually straightforward if the camera is stationary, and is often referred to as background subtraction. However, if the camera itself is also moving, then the problem becomes more complicated, since the image motion is generated by the combined effects of camera motion, structure and the motion of the independently moving objects. Isolating the contribution of each of these three factors is needed to solve the more general independent motion problem, which involves motion segmentation (finding the moving objects) and also finding their 3D motion. In this chapter, we shall restrict ourselves to the problem of finding moving objects only and not worry about finding their 3D motion. In the beginning, we present our philosophy that visual problems such as motion segmentation are inextricably linked with other problems in vision, and must be approached with a compositional outlook which attempts to solve multiple problems simultaneously. This is followed by a brief review of existing algorithms which detect independently moving objects. The main body of this chapter presents our approach to motion segmentation which classifies moving objects and demonstrates that motion segmentation is compositional and is not about motion alone, but can also utilize information from sources such as occlusions to detect a wider array of moving objects." @default.
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- W145868035 date "2005-01-01" @default.
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- W145868035 title "Detecting Independent 3D Movement" @default.
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- W145868035 doi "https://doi.org/10.1007/3-540-28247-5_12" @default.
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