A neural network-based approach to motion estimation with discontinuities
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Date
2008
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Publisher
IEEE
Abstract
A new neural network-based approach is proposed
to estimate motion hierarchy in image sequences
taking into consideration motion discontinuities. The
network consists in an input layer, an intermediate
layer and an output layer. In order to estimate the most
likely displacement at each pixel, we have transposed
the block matching approach into the neural network
approach and add mechanisms to detect motion
discontinuities. Information redundancy allows for
parallel processing in view of real-time complex
motion estimation tasks. Preliminary tests on synthetic
and real images are very promising.