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Improvement of the Fail-Safe Characteristics in Motion Analysis Using Adaptive Technique

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

Abstract

In this paper, we propose an adaptive technique for the automatic extraction and tracking of moving objects in video sequences that works robustly under the influence of image-specific disturbances (e.g. brightness variations, shadow and partial occlusion). For this technique, we apply the colour information, a neural recognition system and a recursive filtering algorithm to the improvement of the matching quality when disturbances occur. This suggested intensity-based technique is adaptive and robust compared to the conventional intensity-based methods.

Keywords

Kalman Filter Video Sequence Displacement Vector Motion Vector Motion Estimation 
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
  • Ruediger Mecke
    • 1
  • Bernd Michaelis
    • 1
  1. 1.Institute for Electronics, Signal Processing and Communications (IESK)Otto-von-Guericke-University MagdeburgMagdeburgGermany

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