Publication detail

Automatic synthesis of classifiers in FGPA

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

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"
}