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SMART CAR: Traffic Signs Detection
Brzoza, Martin ; Motlíček, Petr (referee) ; Beran, Vítězslav (advisor)
This bachelor's thesis is concerned about known methods of detection traffic signs in video sequence. In introduction are explained and located main benefits in the light of process speed and accuracy of detection. At the next chapters is designed system for traffic signs detection and classification. In the end is this system tested on prepared testing data and results are evaluated. The work is focused on method Template Matching for classification and color appearance model CieCam97 for detecting candidate areas.
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Detection and Recognition of Traffic Signs
Vránsky, Radovan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This bachelor thesis is about different methods of detection and recognition of traffic signs in pictures. The introduction several of these methods are described and their use is demonstrated. In the next part of the thesis, the implementation of the detection and recognition of traffic signs with the use of Support Vector Machine is described in detail. It also describes the method of creating of the dataset or different models describing this dataset. In the conclusion the method is evaluated.
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Detection and Recognition of Traffic Signs
Vránsky, Radovan ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This bachelor thesis is about different methods of detection and recognition of traffic signs in pictures. The introduction several of these methods are described and their use is demonstrated. In the next part of the thesis, the implementation of the detection and recognition of traffic signs with the use of Support Vector Machine is described in detail. It also describes the method of creating of the dataset or different models describing this dataset. In the conclusion the method is evaluated.
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SMART CAR: Traffic Signs Detection
Brzoza, Martin ; Motlíček, Petr (referee) ; Beran, Vítězslav (advisor)
This bachelor's thesis is concerned about known methods of detection traffic signs in video sequence. In introduction are explained and located main benefits in the light of process speed and accuracy of detection. At the next chapters is designed system for traffic signs detection and classification. In the end is this system tested on prepared testing data and results are evaluated. The work is focused on method Template Matching for classification and color appearance model CieCam97 for detecting candidate areas.
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