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KADLČEK, F. FUČÍK, O.
Original Title
Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection
Type
article in a collection out of WoS and Scopus
Language
English
Original 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.
Keywords
Local Binary Pattern (LBP), AdaBoost, Evolutionary design, feature shapes
Authors
KADLČEK, F.; FUČÍK, O.
RIV year
2012
Released
25. 6. 2012
Publisher
IEEE Computer Society
Location
Nuremberg
ISBN
978-1-4673-1914-0
Book
2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference
Edition
CFP1263A-USB
Pages from
1
Pages to
8
Pages count
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/" }