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  4. Spatiotemporally adaptive estimation and segmentation of OF-fields
 
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1998
Conference Paper
Title

Spatiotemporally adaptive estimation and segmentation of OF-fields

Abstract
A grayvalue structure tensor provides knowledge about a local grayvalue variation. This knowledge can be used to devise a spatiotemporally adaptive optic flow estimation process. Such an adaptive estimation lowers the level at which the resulting optic flow (OF) field is disturbed by noise and estimation artefacts. This in turn substantially simplifies the analysis of remaining - often subtle - effects which easily jeopardize a 'naive' segmentation approach. Appropriate treatment of such effects eventually results in a basically simple, but nevertheless surprisingly robust segmentation approach. Various stages of this approach are illustrated by examples for the extraction of moving vehicle images from a digitized road intersection video-sequence.
Author(s)
Nagel, H.-H.
Gehrke, A.
Mainwork
Computer Vision. ECCV '98. Proceedings. Vol. 2  
Conference
European Conference on Computer Vision (ECCV) 1998  
DOI
10.1007/BFb0054735
Language
English
IITB  
Keyword(s)
  • adaptive filtering

  • adaptive Filterung

  • Bewegung

  • image motion

  • optical flow

  • optischer Fluß

  • segmentation

  • Segmentierung

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