Conference paper

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. Nuremberg: IEEE Computer Society, 2012, pp. 1-8. ISBN 978-1-4673-1914-0.
Publication language:english
Original title:Evolutionary Design of Local Binary Pattern Feature Shapes for Object Detection
Title (cs):Evoluční návrh geometrických tvarů příznaků Local Binary Pattern pro rozpoznávání objektů
Pages:1-8
Proceedings:2012 NASA/ESA Adaptive Hardware and Systems (AHS-2012) Conference
Conference:NASA/ESA Conference on Adaptive Hardware and Systems 2012
Series:CFP1263A-USB
Place:Nuremberg, DE
Year:2012
ISBN:978-1-4673-1914-0
Publisher:IEEE Computer Society
Files: 
+Type Name Title Size Last modified
iconPID2320815.pdf709 KB2012-07-16 21:35:09
^ Select all
With selected:
Keywords
Local Binary Pattern (LBP), AdaBoost, Evolutionary design, feature shapes
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.
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=9987}
}

Your IPv4 address: 54.242.205.33
Switch to IPv6 connection

DNSSEC [dnssec]