Publication detail

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

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

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2013

Released

02.07.2013

ISBN

978-1-4799-0402-0

Book

2013 36th International Conference on Telecommunications and Signal Processing

Edition

1

Pages from

872

Pages to

876

Pages count

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",
  annote="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.",
  booktitle="2013 36th International Conference on Telecommunications and Signal Processing",
  chapter="99162",
  edition="1",
  howpublished="print",
  year="2013",
  month="july",
  pages="872--876",
  type="conference paper"
}