National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Determination of Gun Type and Position in Image Scene
Kolcún, Róbert ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The main goal of this work is to design an approach for classifying guns into two categories, with short and long weapons, and determining a position of guns in the image scene. This problem was solved using the classical approach as K-Nearest-Neighbour and SVM classification and using convolutional neural networks. In this work was made a comparison of these approaches with a resulting accuracy up to 90%. With the results of this work, it is possible to choose a right approach to this problem.
Determination of Gun Type and Position in Image Scene
Kolcún, Róbert ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The main goal of this work is to design an approach for classifying guns into two categories, with short and long weapons, and determining a position of guns in the image scene. This problem was solved using the classical approach as K-Nearest-Neighbour and SVM classification and using convolutional neural networks. In this work was made a comparison of these approaches with a resulting accuracy up to 90%. With the results of this work, it is possible to choose a right approach to this problem.

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