Detail publikace

Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection

KADLČEK, F. FUČÍK, O.

Originální název

Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the evolutionary design of application specific feature shapes of Local Binary Pattern (LBP) features for object detection in image processing applications. LBP features are very often utilized in image classification systems which are used for pattern recognition. By using genetic algorithm the application of specific weak classifiers' feature shapes, which are highly optimized to achieve a better accuracy of the AdaBoost strong classifier, are being evolved.

Klíčová slova

Local Binary Pattern (LBP), AdaBoost, Evolutionary design, feature shapes

Autoři

KADLČEK, F.; FUČÍK, O.

Rok RIV

2012

Vydáno

25. 6. 2012

Nakladatel

IEEE Computer Society

Místo

Nuremberg

ISBN

978-1-4673-1914-0

Kniha

2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference

Edice

CFP1263A-USB

Strany od

1

Strany do

8

Strany počet

8

URL

https://www.fit.vut.cz/research/publication/9987/

BibTex

@inproceedings{BUT91499,
  author="Filip {Kadlček} and Otto {Fučík}",
  title="Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection",
  booktitle="2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference",
  year="2012",
  series="CFP1263A-USB",
  pages="1--8",
  publisher="IEEE Computer Society",
  address="Nuremberg",
  isbn="978-1-4673-1914-0",
  url="https://www.fit.vut.cz/research/publication/9987/"
}