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Synthetic Data Set Generator for Traffic Analysis
Šlosár, Peter ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.
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License Plate Detection and Localization
Šlosár, Peter ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This bachelor's thesis deals with the detection and localization of vehicle registration plates. Theoretical part discusses properties and appearance of Czech and Slovak license plates and also methods presently used for detection and localization of license plates. Main part of the thesis consists of design and implementation of new detection and localization method using corner detector, clustering and cascade classification. Final part describes testing of this system using dataset and evaluates its success rate.
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License Plate Detection and Localization
Šlosár, Peter ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This bachelor's thesis deals with the detection and localization of vehicle registration plates. Theoretical part discusses properties and appearance of Czech and Slovak license plates and also methods presently used for detection and localization of license plates. Main part of the thesis consists of design and implementation of new detection and localization method using corner detector, clustering and cascade classification. Final part describes testing of this system using dataset and evaluates its success rate.
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Synthetic Data Set Generator for Traffic Analysis
Šlosár, Peter ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.
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