Rozpoznání atributů vozidel pomocí metod strojového učení (Zvaná přednáška)

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Title in English Automatic recognition of vehicle attributes using machine learning (Invited talk)
Authors

SEDLÁK Jan

Year of publication 2016
Type Article in Proceedings
Conference Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords machine learning; neural networks; brand classification; vehicle color; SVM; Random forest; deep neural networks
Description Detection and recognition of vehicle attributes is important part of the ITS systems, particularly when searching for interest or stolen vehicles. The lecture discusses applicability of machine learning methods, including RandomForest, Support vector machine and deep neural networks, in identifying the individual vehicle attributes based on camera images from the real environment. The results from functional implementation of machine learning algorithms for classification of color and vehicle make, deployed in real-world environment for the purpose of Police of the Czech Republic, will be presented.
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