Detail výsledku

Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection

KADLČEK, F.; FUČÍK, O. Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection. 2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference. CFP1263A-USB. Nuremberg: IEEE Computer Society, 2012. p. 1-8. ISBN: 978-1-4673-1914-0.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kadlček Filip, Ing., Ph.D., UPSY (FIT)
Fučík Otto, doc. Dr. Ing., UPSY (FIT)
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

Rok
2012
Strany
1–8
Sborník
2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference
Řada
CFP1263A-USB
Konference
NASA/ESA Conference on Adaptive Hardware and Systems 2012
ISBN
978-1-4673-1914-0
Vydavatel
IEEE Computer Society
Místo
Nuremberg
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/"
}
Soubory
Projekty
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, zahájení: 2011-01-01, ukončení: 2015-12-31, ukončen
Pracoviště
Ústav počítačových systémů (UPSY)
Nahoru