Detection and recognition of objects on images based on MKV-classifiers
In article the algorithm of combination of the binary properties widely used in practice at system engineering of the automatic analysis of the visual information, in the form of the MKV-classifier is offered. Problems of training and using of MKV- classifiers for the decision of detection problem...
Збережено в:
| Дата: | 2013 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут проблем штучного інтелекту МОН України та НАН України
2013
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| Назва видання: | Искусственный интеллект |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/85212 |
| Теги: |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Detection and recognition of objects on images based on MKV-classifiers / K.V. Murygin // Искусственный интеллект. — 2013. — № 1. — С. 209–217. — Бібліогр.: 6 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | In article the algorithm of combination of the binary properties widely used in practice at system engineering of the
automatic analysis of the visual information, in the form of the MKV-classifier is offered. Problems of training and using
of MKV- classifiers for the decision of detection problems and recognition of objects are considered. The offered
algorithms of training allow to generate more effective recognizing rules in comparison with known algorithm
AdaBoost, in particular it is essential to reduce number of used properties at identical classifying ability, at the expense
of more exact description of position of objects in feature space. Possibility of representation of the MKV- classifier in
the form of a decisions tree allows increasing essentially of computing efficiency of classification process. |
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