Motion detection in complex environments by genetic programming

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

@InProceedings{DBLP:conf/gecco/PintoS09,
  author =       "Brian Pinto and Andy Song",
  title =        "Motion detection in complex environments by genetic
                 programming",
  booktitle =    "GECCO-2009 Late-Breaking Papers",
  year =         "2009",
  editor =       "Anna I. Esparcia and Ying-ping Chen and 
                 Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and 
                 Hans-Georg Beyer and Nikolaus Hansen and 
                 Steffen Finck and Raymond Ros and Darrell Whitley and 
                 Garnett Wilson and Simon Harding and W. B. Langdon and 
                 Man Leung Wong and Laurence D. Merkle and Frank W. Moore and 
                 Sevan G. Ficici and William Rand and Rick Riolo and 
                 Nawwaf Kharma and William R. Buckley and Julian Miller and 
                 Kenneth Stanley and Jaume Bacardit and Will Browne and 
                 Jan Drugowitsch and Nicola Beume and Mike Preuss and 
                 Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and 
                 Alexandru Floares and Aaron Baughman and 
                 Steven Gustafson and Maarten Keijzer and Arthur Kordon and 
                 Clare Bates Congdon and Laurence D. Merkle and 
                 Frank W. Moore",
  pages =        "2125--2130",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1570256.1570288",
  abstract =     "Detecting motions is an important aspect of machine
                 vision. However real world vision tasks often contain
                 interfering motion information which is not of
                 interest. To tackle this difficult task, we adapted
                 Genetic Programming into this domain. The GP-based
                 methodology presented in this paper does not require
                 the implementation of existing motion detection
                 algorithms. The evolved programs can detect genuine
                 moving objects such as cars and boats, while ignoring
                 background movements such as waving trees, rippling
                 water surface and even pedestrians. These programs
                 provide reliable performance under different lighting
                 conditions, either indoors and outdoors. Furthermore no
                 preprocessing of video input is required which is
                 usually mandatory in conventional vision approaches.",
  notes =        "Distributed on CD-ROM at GECCO-2009.

                 ACM Order Number 910092.",
}

Genetic Programming entries for Brian Pinto Andy Song

Citations