Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance

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

  author =       "Daniel Howard and Simon C. Roberts and Conor Ryan",
  title =        "Pragmatic Genetic Programming strategy for the problem
                 of vehicle detection in airborne reconnaissance",
  journal =      "Pattern Recognition Letters",
  year =         "2006",
  volume =       "27",
  number =       "11",
  pages =        "1275--1288",
  month =        aug,
  note =         "Evolutionary Computer Vision and Image Understanding",
  keywords =     "genetic algorithms, genetic programming, Object
                 detection, Method of stages, Reconnaissance, Discrete
                 Fourier transform, Vehicle detection, Machine vision",
  DOI =          "doi:10.1016/j.patrec.2005.07.025",
  abstract =     "A Genetic Programming (GP) method uses multiple runs,
                 data decomposition stages, to evolve a hierarchical set
                 of vehicle detectors for the automated inspection of
                 infrared line scan imagery that has been obtained by a
                 low flying aircraft. The performance on the scheme
                 using two different sets of GP terminals (all are
                 rotationally invariant statistics of pixel data) is
                 compared on 10 images. The discrete Fourier transform
                 set is found to be marginally superior to the simpler
                 statistics set that includes an edge detector. An
                 analysis of detector formulae provides insight on
                 vehicle detection principles. In addition, a promising
                 family of algorithms that take advantage of the GP
                 method's ability to prescribe an advantageous solution
                 architecture is developed as a post-processor. These
                 algorithms selectively reduce false alarms by exploring
                 context, and determine the amount of contextual
                 information that is required for this task.",

Genetic Programming entries for Daniel Howard Simon C Roberts Conor Ryan