Video sequence motion tracking by fuzzification techniques

  • Authors:
  • Juan Moreno-Garcia;Luis Rodriguez-Benitez;Antonio Fernández-Caballero;María T. López

  • Affiliations:
  • Escuela Universitaria de Ingeniería Técnica Industrial de Toledo, Universidad de Castilla-La Mancha, 45071 Toledo, Spain;Escuela Universitaria Politécnica de Almadén, Universidad de Castilla-La Mancha, 13400 Almadïén, Spain;Instituto de Investigación en Informática de Albacete (I3A) & Escuela de Ingenieros Industriales de Albacete, Universidad de Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, ...;Instituto de Investigación en Informática de Albacete (I3A) & Escuela Superior de Ingenieríía Informática, Universidad de Castilla-La Mancha, 02071 Albacete, Spain

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2010

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Abstract

In this paper a method for moving objects segmentation and tracking from the so-called permanency matrix is introduced. Our motion-based algorithms enable to obtain the shapes of moving objects in video sequences starting from those image pixels where a change in their grey levels is detected between two consecutive frames by means of the permanency values. In the segmentation phase matching between objects along the image sequence is performed by using fuzzy bi-dimensional rectangular regions. The tracking phase performs the association between the various fuzzy regions in all the images through time. Finally, the analysis phase describes motion through a long video sequence. Segmentation, tracking an analysis phases are enhanced through the use of fuzzy logic techniques, which enable to work with the uncertainty of the permanency values due to image noise inherent to computer vision.