Detail publikace

Automatic synthesis of classifiers in FGPA

KADLČEK, F. JURÁNEK, R. ZEMČÍK, P.

Originální název

Automatic synthesis of classifiers in FGPA

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

AdaBoost, FPGA, LBP, hardware synthesis.

Autoři

KADLČEK, F.; JURÁNEK, R.; ZEMČÍK, P.

Rok RIV

2011

Vydáno

12. 4. 2011

Nakladatel

Tomas Bata University in Zlín

Místo

Zlín

ISBN

978-80-7454-013-4

Kniha

International Bata Conference for Ph.D. Students and Young Researchers

Strany od

1

Strany do

12

Strany počet

12

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"
}