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Motion Detection Using Cellular Neural Network

  • S. Belkasim
  • O. Basir
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 14)

Abstract

Cellular Neural Networks have been recently used for motion detection. Their main advantage lies in the comparative nature of each processor within its local neighborhood. The function of each processor is dependent on the choice of the control and feedback templates. In this paper a new set of templates is introduced. These templates allow the CNN processor to detect object motion in any direction, as well as estimating the motion distance. Experimental results are also introduced to test and verity the accuracy of these templates.

Keywords

Motion Detection Cellular Neural Network Black Pixel Shadow Detector Detect Object Motion 
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 2002

Authors and Affiliations

  • S. Belkasim
    • 1
  • O. Basir
    • 2
  1. 1.Department of Computer ScienceGeorgia State UniversityAtlantaUSA
  2. 2.School of EngineeringUniversity of GuelphGuelphCanada

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