Visualization of time-dependent data with feature tracking and event detection |
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Authors: | Freek Reinders Frits H Post Hans JW Spoelder |
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Affiliation: | (1) Dept. of Computer Science, Delft University of Technology, Zuidplantsoen 4, 2600 AJ Delft, The Netherlands e-mail: {k.f.j.reinders, f.h.post}@cs.tudelft.nl, NL;(2) Div. of Physics and Astronomy, Vrije Universiteit, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands e-mail: hs@nat.vu.nl, NL |
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Abstract: | This paper presents an innovative method to analyze and visualize time-dependent evolution of features. The analysis and visualization
of time-dependent data are complicated because of the immense number of data involved. However, if the scientist's main interest
is the evolution of certain features, it suffices to show the evolution of these features.
The task of the visualization method is to extract the features from all frames, to determine the correspondences between
features in successive frames, to detect significant events or stages in the evolution of the features, and, finally, to visualize
the results. The method described here performs all these steps, and it is applied to a number of applications. |
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Keywords: | : Visualization %ndash Time-dependent data %ndash Feature tracking %ndash Event detection |
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