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Koncepty strojového učení pro kategorizaci objektů v obrazu / Machine Learning Concepts for Categorization of Objects in Images

This work is focused on objects and scenes recognition using machine learning and computer vision tools. Before the solution of this problem has been studied basic phases of the machine learning concept and statistical models with accent on their division into discriminative and generative method. Further, the Bag-of-words method and its modification have been investigated and described. In the practical part of this work, the implementation of the Bag-of-words method with the SVM classifier was created in the Matlab environment and the model was tested on various sets of publicly available images.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:316388
Date January 2017
CreatorsHubený, Marek
ContributorsHonec, Peter, Horák, Karel
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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