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On Automatic Selection of Temporal Scales in Time-Casual Scale-Space
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
1997 (English)In: Proceedings of the Algebraic Frames for the Perception-Action Cycle: AFPAC'97 (Kiel, Germany), 1997, Vol. 1315, 94-113 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
1997. Vol. 1315, 94-113 p.
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:kth:diva-40222DOI: 10.1007/BFb0017862OAI: diva2:442082
Algebraic Frames for the Perception-Action Cycle, 1997

QC 20110920

Available from: 2013-04-19 Created: 2011-09-13 Last updated: 2013-04-19Bibliographically approved

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