Analysis of Motion Detectors Evolved by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Shi:2012:CEC,
  title =        "Analysis of Motion Detectors Evolved by Genetic
                 Programming",
  author =       "Qiao Shi and Wei Yin and Andy Song",
  pages =        "501--508",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
                 Computation",
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  DOI =          "doi:10.1109/CEC.2012.6256535",
  address =      "Brisbane, Australia",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Computer Vision, Real-world applications",
  abstract =     "Genetic Programming (GP) is reputable for its power in
                 finding creative solutions for complex problems.
                 However the downside of it is also well known: the
                 evolved solutions are often difficult to understand.
                 This interpretability issue hinders GP to gain
                 acceptance from many application areas. To address this
                 issue in the context of motion detection, GP programs
                 evolved for various detection tasks are analysed in
                 this study. Previous work has shown the capabilities of
                 these evolved motion detectors such as ignoring
                 uninteresting motions, differentiating fast motions
                 from slow motions, identifying genuine motions from a
                 moving background, and handling noises. This study aims
                 to reveal the behaviour of these GP individuals by
                 introducing simplified motion detection tasks. The
                 investigation on these GP motion detectors shows that
                 their good performance is not random. There are
                 contributing characteristics captured by these
                 detectors, of which the behaviours are more or less
                 explainable. This study validates GP as a good approach
                 for motion detection.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",
}

Genetic Programming entries for Qiao Shi Wei Yin Andy Song

Citations