Segmentation and estimation of the optical flow

  • Adrian G. Borş
  • Ioannis Pitas
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DOI: 10.1007/3-540-60268-2_364

Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)
Cite this paper as:
Borş A.G., Pitas I. (1995) Segmentation and estimation of the optical flow. In: Hlaváč V., Šára R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg

Abstract

We propose an algorithm for simultaneous estimation and segmentation of the optical flow. The moving scene is decomposed in different regions with respect to their motion, by means of a pattern recognition scheme. The feature vectors are drawn from the image sequence and they are used to train a Radial Basis Functions (RBF) neural network. The learning algorithm for the RBF network minimizes a cost function derived from the probability estimation theory. The proposed algorithm was applied in real image sequences.

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Copyright information

© Springer-Verlag 1995

Authors and Affiliations

  • Adrian G. Borş
    • 1
  • Ioannis Pitas
    • 1
  1. 1.Department of InformaticsUniversity of ThessalonikiThessalonikiGreece

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