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KADLČEK, F. JURÁNEK, R. ZEMČÍK, P.
Original Title
Automatic synthesis of classifiers in FGPA
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
In this paper an approach to automatic synthesis of classifiers in FPGAs based on AdaBoost algorithm is introduced. The various boosting methods are widely used for detection of objects in images. In this paper a novel approach to automatic synthesis of a classifier with respect to an efficient use of computing resources is proposed. The main purpose is to achieve an acceptable trade-off between speed and resources consumption of the designed classifier. The features, used in boosting algorithms, are based on Local Binary Patterns, which are more suitable for hardware implementation then traditionally used Haar-like features. Automatic synthesis of classifiers from trained data sets is also described. In the paper there are also described the results achieved.
Keywords
AdaBoost, FPGA, LBP, hardware synthesis.
Authors
KADLČEK, F.; JURÁNEK, R.; ZEMČÍK, P.
RIV year
2011
Released
12. 4. 2011
Publisher
Tomas Bata University in Zlín
Location
Zlín
ISBN
978-80-7454-013-4
Book
International Bata Conference for Ph.D. Students and Young Researchers
Pages from
1
Pages to
12
Pages count
BibTex
@inproceedings{BUT76352, author="Filip {Kadlček} and Roman {Juránek} and Pavel {Zemčík}", title="Automatic synthesis of classifiers in FGPA", booktitle="International Bata Conference for Ph.D. Students and Young Researchers", year="2011", pages="1--12", publisher="Tomas Bata University in Zlín", address="Zlín", isbn="978-80-7454-013-4" }