Abstract
Using a model of an edge's motion through a sequence of images,
the problem of its localization can be formulated as a stochastic
filtering problem. The extended Kalman filter for such a system is
considered in detail and is shown to be interpretable as a sequence of
oriented special convolutions. Results are presented which show that the
edge localization obtained using this filter is substantially better
than that obtained using either the Sobel or Canny edge operators on
each image individually
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