Detail publikace

Genetic Programming Based Classifier in Viola-Jones RapidMiner Image Mining Extension

KARÁSEK, J. BURGET, R. MAŠEK, J. BENDA, O.

Originální název

Genetic Programming Based Classifier in Viola-Jones RapidMiner Image Mining Extension

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents a new approach to the classifier design used in the Viola-Jones object detector implemented in RadpidMiner Image Mining Extension. The new approach to the classifier design proposed in this paper is in fact creation of a classification tree designed by a genetic programming algorithm. The resulting classifier is used as an alternative approach to the standard cascade classifier designed by a genetic algorithm. In this paper, a classifier design is shown, the incorporation into the Viola-Jones operator is described, and experimental results of face classification process are depicted and compared to the standard cascade classifier designed by genetic algorithm.

Klíčová slova

Classification Tree, Genetic Programming, Image Mining Extension, Object Classification, RapidMiner

Autoři

KARÁSEK, J.; BURGET, R.; MAŠEK, J.; BENDA, O.

Rok RIV

2013

Vydáno

2. 7. 2013

ISBN

978-1-4799-0402-0

Kniha

2013 36th International Conference on Telecommunications and Signal Processing

Edice

1

Strany od

872

Strany do

876

Strany počet

5

BibTex

@inproceedings{BUT99162,
  author="Jan {Karásek} and Radim {Burget} and Jan {Mašek} and Ondřej {Benda}",
  title="Genetic Programming Based Classifier in Viola-Jones RapidMiner Image Mining Extension",
  booktitle="2013 36th International Conference on Telecommunications and Signal Processing",
  year="2013",
  series="1",
  pages="872--876",
  isbn="978-1-4799-0402-0"
}