Automatic synthesis of classifiers in FGPA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96065" target="_blank" >RIV/00216305:26230/11:PU96065 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic synthesis of classifiers in FGPA
Original language description
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 ofa 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.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Bata Conference for Ph.D. Students and Young Researchers
ISBN
978-80-7454-013-4
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
1-12
Publisher name
Tomas Bata University in Zlín
Place of publication
Zlín
Event location
Univerzita Tomáše Bati, Mostní 5139, Zlín
Event date
Apr 12, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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