Abstract
A discussion is given of various stochastic geometry models (random fields, sequential
object processes, polygonal field models) which can be used in intermediate and high-level image analysis. Two examples are presented of actual image analysis problems (motion tracking in video, foreground/background separation) to which these ideas can be applied.
Original language | English |
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Title of host publication | New perspectives in stochastic geometry |
Editors | W.S. Kendall, I.S. Molchanov |
Place of Publication | Oxford |
Publisher | Oxford University Press |
Pages | 427-450 |
ISBN (Print) | 978-0-19-923257-4 |
Publication status | Published - 2009 |