Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{Howard13:2002:EvoWorkshops,
author = "Daniel Howard and Simon C. Roberts and Conor Ryan",
title = "The Boru Data Crawler for Object Detection Tasks in
Machine Vision",
booktitle = "Applications of Evolutionary Computing, Proceedings of
EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN",
year = "2002",
editor = "Stefano Cagnoni and Jens Gottlieb and Emma Hart and
Martin Middendorf and G{"}unther Raidl",
volume = "2279",
series = "LNCS",
pages = "222--232",
address = "Kinsale, Ireland",
publisher_address = "Berlin",
month = "3-4 " # apr,
organisation = "EvoNet",
publisher = "Springer-Verlag",
keywords = "genetic algorithms, genetic programming, evolutionary
computation, applications",
ISBN = "3-540-43432-1",
size = "11 pages",
abstract = "A 'data crawler' is allowed to meander around an image
deciding what it considers to be interesting and laying
down flags in areas where its interest has been
aroused. These flags can be analysed statistically as
if the image was being viewed from afar to achieve
object recognition. The guidance program for the
crawler, the program which excites it to deposit a flag
and how the flags are combined statistically, are
driven by an evolutionary process which has as
objective the minimisation of misses and false alarms.
The crawler is represented by a tree-based Genetic
Programming (GP) method with fixed architecture
Automatically Defined Functions (ADFs). The crawler was
used as a post-processor to the object detection
obtained by a Staged GP method, and it managed to
appreciably reduce the number of false alarms on a
real-world application of vehicle detection in infrared
imagery.",
notes = "EvoWorkshops2002, part of cagnoni:2002:ews
READMEM WRITEMEM working memory. Mark decisions branch.
Flags. Second results branch. Looking for cars
",
}
Genetic Programming entries for Daniel Howard Simon C Roberts Conor Ryan