Publication Details

Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection

KADLČEK Filip and FUČÍK Otto. Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection. In: 2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference. CFP1263A-USB. Nuremberg: IEEE Computer Society, 2012, pp. 1-8. ISBN 978-1-4673-1914-0.
Czech title
Evoluční návrh geometrických tvarů příznaků Local Binary Pattern pro rozpoznávání objektů
Type
conference paper
Language
english
Authors
Kadlček Filip, Ing. (DCSY FIT BUT)
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT)
Keywords

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

Abstract

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.

Annotation

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.

Published
2012
Pages
1-8
Proceedings
2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference
Series
CFP1263A-USB
Conference
NASA/ESA Conference on Adaptive Hardware and Systems 2012, Nuremberg, DE
ISBN
978-1-4673-1914-0
Publisher
IEEE Computer Society
Place
Nuremberg, DE
BibTeX 
@INPROCEEDINGS{FITPUB9987,
   author = "Filip Kadl\v{c}ek and Otto Fu\v{c}\'{i}k",
   title = "Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection",
   pages = "1--8",
   booktitle = "2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference",
   series = "CFP1263A-USB",
   year = 2012,
   location = "Nuremberg, DE",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-4673-1914-0",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9987"
}
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