Biologically-inspired robust motion segmentation using mutual information
AL Ellis, J Ferryman - Computer Vision and Image Understanding, 2014 - Elsevier
This paper presents a neuroscience inspired information theoretic approach to motion
segmentation. Robust motion segmentation represents a fundamental first stage in many
surveillance tasks. As an alternative to widely adopted individual segmentation approaches,
which are challenged in different ways by imagery exhibiting a wide range of environmental
variation and irrelevant motion, this paper presents a new biologically-inspired approach
which computes the multivariate mutual information between multiple complementary …
segmentation. Robust motion segmentation represents a fundamental first stage in many
surveillance tasks. As an alternative to widely adopted individual segmentation approaches,
which are challenged in different ways by imagery exhibiting a wide range of environmental
variation and irrelevant motion, this paper presents a new biologically-inspired approach
which computes the multivariate mutual information between multiple complementary …
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