Publication details
Rozpoznání atributů vozidel pomocí metod strojového učení (Zvaná přednáška)
| Title in English | Automatic recognition of vehicle attributes using machine learning (Invited talk) |
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| Authors | |
| Year of publication | 2016 |
| Type | Article in Proceedings |
| Conference | Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ |
| MU Faculty or unit | |
| 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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