Fast Video Analysis by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Song:2008:cec,
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author = "Andy Song",
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title = "Fast Video Analysis by Genetic Programming",
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booktitle = "2008 IEEE World Congress on Computational
Intelligence",
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year = "2008",
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editor = "Jun Wang",
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pages = "3237--3243",
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address = "Hong Kong",
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month = "1-6 " # jun,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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isbn13 = "978-1-4244-1823-7",
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file = "EC0709.pdf",
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DOI = "doi:10.1109/CEC.2008.4631236",
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abstract = "Genetic programming has been applied to various types
of vision tasks. This paper extends the use of this
powerful problem solving method to a more complex but
more common domain, video analysis. We present the
methodology as well as the experiments on two video
analysis tasks: segmenting texture regions and
detecting moving objects. The advantages of GP in this
domain can be shown by this study. Firstly GP methods
are less dependent on knowledge from domain experts.
One methodology is suitable for both tasks. Secondly GP
can generate fast video frame analysers which are
highly desirable or even critical in real time vision
applications.",
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keywords = "genetic algorithms, genetic programming",
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notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
EPS and the IET.",
- }
Genetic Programming entries for
Andy Song
Citations