Recognizing Human Motion Using Parameterized Models of Optical Flow
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Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that are computed from a training set using principal component analysis. Many complex image motions can be represented by a linear combination of a small number of these basis flows. The learned motionmodels may be used for ...
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تاریخ انتشار 1997