Evolution of Vehicle Detectors for Infrared Linescan Imagery

Created by W.Langdon from gp-bibliography.bib Revision:1.3838

@InProceedings{roberts:1999:evdIRLI,
  author =       "Simon C. Roberts and Daniel Howard",
  title =        "Evolution of Vehicle Detectors for Infrared Linescan
                 Imagery",
  booktitle =    "Evolutionary Image Analysis, Signal Processing and
                 Telecommunications: First European Workshop, EvoIASP'99
                 and EuroEcTel'99",
  year =         "1999",
  editor =       "Riccardo Poli and Hans-Michael Voigt and 
                 Stefano Cagnoni and Dave Corne and George D. Smith and 
                 Terence C. Fogarty",
  volume =       "1596",
  series =       "LNCS",
  pages =        "110--125",
  address =      "Goteborg, Sweden",
  publisher_address = "Berlin",
  month =        "28-29 " # may,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-65837-8",
  DOI =          "doi:10.1007/10704703_9",
  abstract =     "The paper addresses an important and difficult problem
                 of object recognition in poorly constrained
                 environments and with objects having large variability.
                 This research uses genetic programming (GP) to develop
                 automatic object detectors. The task is to detect
                 vehicles in infrared line scan (IRLS) images gathered
                 by low flying aircraft. This is a difficult task due to
                 the diversity of vehicles and the environments in which
                 they can occur, and because images vary with numerous
                 factors including fly-over, temporal and weather
                 characteristics. A novel multi-stage approach is
                 presented which addresses automatic feature detection,
                 automatic object segregation, rotation invariance and
                 generalisation across diverse objects whilst
                 discriminating from a myriad of potential non-objects.
                 The approach does not require imagery to be
                 pre-processed.",
  notes =        "EvoIASP99'99",
}

Genetic Programming entries for Simon C Roberts Daniel Howard

Citations