Recognition of dynamic visual images based on group transformations

  • Authors:
  • M. N. Favorskaya

  • Affiliations:
  • Siberian State Aerospace University, Krasnoyarsk, Russia 660014

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2012

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Abstract

A new dynamic image recognition method for image sequences based on two-level recognition of individual states and a set of states as a whole is considered in the paper. Integrated and invariant estimations of internal automorphisms are suggested. The modified collective decision-making method for dynamic image recognition uses four types of pseudodistances, in order to obtain a measure of similarity of input dynamic images with dynamic reference images depending on representation of dynamic features, as sets of numerical parameters, sets of vectors, or sets of functions. The experimental data on dynamic image recognition based on various measures of similarity of the sample with the reference pattern, which take into account isomorphic and permissible homomorphic transformations of visual projections, are presented.