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      Utilization of the recursive shortest spanning tree algorithm for video-object segmentation by 2-D affine motion modeling

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      Author(s)
      Tuncel, E.
      Onural, L.
      Date
      2000
      Source Title
      IEEE Transactions on Circuits and Systems for Video Technology
      Print ISSN
      1051-8215
      Publisher
      IEEE
      Volume
      10
      Issue
      5
      Pages
      776 - 781
      Language
      English
      Type
      Article
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      Abstract
      A novel video-object segmentation algorithm is proposed, which takes the previously estimated 2-D dense motion vector field as input and uses the generalized recursive shortest spanning tree method to approximate each component of the motion vector field as a piecewise planar function. The algorithm is successful in capturing 3-D planar objects in the scene correctly, with acceptable accuracy at the boundaries. The proposed algorithm is fast and requires no initial guess about the segmentation mask. Moreover, it is a hierarchical scheme which gives finest to coarsest segmentation results. The only external parameter needed by the algorithm is the number of segmented regions that essentially control the level at which the coarseness the algorithm would stop. The proposed algorithm improves the `analysis model' developed in the European COST211 framework.
      Keywords
      Algorithms
      Multimedia systems
      Object recognition
      Piecewise linear techniques
      Trees (mathematics)
      Recursive shortest spanning tree method
      Video-object segmentation algorithms
      Image segmentation
      Permalink
      http://hdl.handle.net/11693/25012
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/76.856454
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      • Department of Electrical and Electronics Engineering 4011
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