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Analysis of Contour Motions Ce Liu William T. Freeman Edward H. Adelson

Summary: Analysis of Contour Motions
Ce Liu William T. Freeman Edward H. Adelson
Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology
Cambridge, MA 02139, USA
A reliable motion estimation algorithm must function under a wide range of con-
ditions. One regime, which we consider here, is the case of moving objects with
contours but no visible texture. Tracking distinctive features such as corners can
disambiguate the motion of contours, but spurious features such as T-junctions
can be badly misleading. It is difficult to determine the reliability of motion from
local measurements, since a full rank covariance matrix can result from both real
and spurious features. We propose a novel approach that avoids these points al-
together, and derives global motion estimates by utilizing information from three
levels of contour analysis: edgelets, boundary fragments and contours. Boundary
fragment are chains of orientated edgelets, for which we derive motion estimates
from local evidence. The uncertainties of the local estimates are disambiguated
after the boundary fragments are properly grouped into contours. The grouping
is done by constructing a graphical model and marginalizing it using rejection


Source: Adelson, Edward - Computer Science and Artificial Intelligence Laboratory, Department of Brain and Cognitive Science, Massachusetts Institute of Technology (MIT)


Collections: Biology and Medicine