Analysis of Genetic Programming in Gait Recognition
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Sharma:2015:CEC,
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author = "Dipak Gaire Sharma and Ivan Tanev and
Katsunori Shimohara",
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title = "Analysis of Genetic Programming in Gait Recognition",
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booktitle = "Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015)",
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year = "2015",
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editor = "Yadahiko Murata",
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pages = "1418--1423",
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address = "Sendai, Japan",
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month = "25-28 " # may,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4799-7491-7",
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DOI = "doi:10.1109/CEC.2015.7257054",
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abstract = "Analysis of human motion is one of the most curious
fields among different disciplines of socio-psychology,
neuro biology and computer science. A person's walk is
so crucial because it is associated with lots of other
aspects which yield very important information related
to emotions, personality, and neurological disorder.
The morphological and psychological information induced
from both the physiology and neurology involved in
motion is one of the key research fields that could one
day resolve the various challenges existing in today's
intelligent systems inspired from nature. The most
interesting among all these is, those wealth of data
can be artificially trained using the complex systems
in response to generate evidences for identifying the
particular person [1]. This paper is the extension of
human gait recognition which presents the analysis of
efficiency of genetic programming in different cases
involved in feature extraction and gait recognition.",
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notes = "1315 hrs 15350 CEC2015",
- }
Genetic Programming entries for
Dipak Gaire Sharma
Ivan T Tanev
Katsunori Shimohara
Citations