Sequential spatial processes for image analysis

M.N.M. Lieshout, van

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We give a brief introduction to sequential spatial processes. We discuss their definition, formulate a Markov property, and indicate why such processes are natural tools in tackling high level vision problems. We focus on the problem of tracking a variable number of moving objects through a video stream, and discuss the relationship with the popular Hough transform. A list of pointers to the literature concludes the paper.
Original languageEnglish
Title of host publicationStereology and Image Analysis - ECS10 (Proceedings 10th European Congress, Milan, Italy, June 22-26, 2009)
EditorsV. Capasso
Place of PublicationBologna
PublisherEsculapio Pub. Co.
ISBN (Print)978-88-7488-310-3
Publication statusPublished - 2009

Publication series

NameThe MIRIAM Project Series
Volume4

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  • Cite this

    Lieshout, van, M. N. M. (2009). Sequential spatial processes for image analysis. In V. Capasso (Ed.), Stereology and Image Analysis - ECS10 (Proceedings 10th European Congress, Milan, Italy, June 22-26, 2009) (The MIRIAM Project Series; Vol. 4). Esculapio Pub. Co..