Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields

DOI10.1137/120872048zbMath1278.62155OpenAlexW1992480575MaRDI QIDQ2873294

Tomás Crivelli, Patrick Bouthemy, Bruno Cernuschi-Frías, Jian-feng Yao

Publication date: 23 January 2014

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10722/189447

zbMATH Keywords

classificationrandom fieldssegmentationmotion analysisdynamic texturesmixed-state models

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Image analysis in multivariate analysis (62H35) Statistical aspects of information-theoretic topics (62B10) Machine vision and scene understanding (68T45)

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