On automatic selection of temporal scales in time-causal scale-space | Zendy

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On automatic selection of temporal scales in time-causal scale-space

Author(s) -

Tony Lindeberg

Publication year - 1997

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-63517-3

DOI - 10.1007/bfb0017862

Subject(s) - computer science , selection (genetic algorithm) , scale (ratio) , spacetime , scale space , artificial intelligence , motion (physics) , space (punctuation) , cartography , geography , image processing , physics , quantum mechanics , image (mathematics) , operating system

This paper outlines a general framework for automatic selection in multi-scale representations of temporal and spatio-temporal data, A general principle for automatic scale selection based on local maxima of normalized differential entities is adapted to the temporal domain, and it is shown how the notion of normalized derivatives can be defined for three main types of (continuous and discrete) temporal scale-space representations. Closed-form analysis is carried out for basic model patterns, and shows how the suggested theory applies to motion detection and motion estimation.

QC 20110920

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