Genetic Programming for Object Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Mengjie Zhang and Urvesh Bhowan and Bunna Ny",
  title =        "Genetic Programming for Object Detection",
  booktitle =    "Twenty-first International Conference Image and Vision
                 Computing New Zealand, IVCNZ 2006",
  year =         "2006",
  editor =       "John Morris and Patrice Delmas",
  pages =        "425--430",
  address =      "Great Barrier Island, New Zealand",
  month =        nov # " 27-29",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Intelligence approaches to Computer Vision, Object
                 Recognition, Image Analysis, Neural Networks",
  isbn13 =       "9780473117924",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "This paper describes a genetic programming approach to
                 object detection. This approach breaks the GP search
                 into two phases with the first phase applied to a
                 selected subset of the training data, and a simplified
                 fitness function. The second phase is initialised with
                 the programs obtained from the first phase, and uses
                 the full set of training data with a complete fitness
                 function to construct the final detection programs. In
                 addition to the detection rate and false alarm rate, a
                 program size and a false alarm area components are
                 added to the fitness function. The results on two
                 object detection problems suggest that the proposed
                 approach improve the effectiveness and the efficiency
                 of genetic programming.",
  notes =        "

                 OCLC Number: 182549710",

Genetic Programming entries for Mengjie Zhang Urvesh Bhowan Bunna Ny