Extracting Motion Features of Objects Based on Full Pixel Matching

This paper proposes an approach to extract motion features from sequences of images of human behavior.A novel algorithm called two-dimensional continuous dynamic programming (2DCDP) is proposed, which can obtain a set of correspondence data for all pixels between sequential images.The 2DCDP algorithm performs segmentation-free detection of objects in an input image from representations in reference image. The output of the 2DCDP algorithm describes a complete vector field that indicates detailed motion of objects.Experiments were performed to show the precision of he motion features extraction.