Fast Video Analysis by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Song:2008:cec,
  author =       "Andy Song",
  title =        "Fast Video Analysis by Genetic Programming",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "3237--3243",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0709.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631236",
  abstract =     "Genetic programming has been applied to various types
                 of vision tasks. This paper extends the use of this
                 powerful problem solving method to a more complex but
                 more common domain, video analysis. We present the
                 methodology as well as the experiments on two video
                 analysis tasks: segmenting texture regions and
                 detecting moving objects. The advantages of GP in this
                 domain can be shown by this study. Firstly GP methods
                 are less dependent on knowledge from domain experts.
                 One methodology is suitable for both tasks. Secondly GP
                 can generate fast video frame analysers which are
                 highly desirable or even critical in real time vision
                 applications.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",
}

Genetic Programming entries for Andy Song

Citations