Another Paradigm for the Solution of the Correspondence Problem in Motion Analysis

  • Ayoub Al-Hamadi
  • Robert Niese
  • Bernd Michaelis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)


This paper demonstrates a technique of analysing the following three problems: automatic extraction of moving objects, suppression of the remaining errors and solution of the correspondence problem for the video sequences motion analysis. Here we use a new paradigm for solving the correspondence problem and then determination of a motion trajectory based on a trisectional structure. I.e., firstly it distinguishes between real world objects, secondly extracts image features like Motion Blobs and colour-Patches and thirdly abstracts objects like Meta-Objects that shall denote real world objects. The efficiency of the suggested technique for determination of motion trajectory of moving objects will be demonstrated in this paper on the basis of analysis of strongly disturbed real image sequences.


Video Sequence Feature Level Motion Trajectory Abstraction Level Tracking Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Ayoub Al-Hamadi
    • 1
  • Robert Niese
    • 1
  • Bernd Michaelis
    • 1
  1. 1.Institute for Electronics, Signal Processing and Communications (IESK)Otto-von-Guericke-University MagdeburgMagdeburgGermany

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