|
| |
|
|
Vehicle On-Board Camera Analysis
Kadeřábek, Jan ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis focuses on analysis of video from vehicle on-board camera. During the process of analysis, probihibitory traffic signs are detected and their specific type is classified. For recognized speed limit signs, their numeric value is extracted. From the processed information, it will try to create a file containing the unique occurrences of traffic signs including their GPS coordinates. For the purpose of detection and recognition of traffic signs, several data sets were created. A~cascade classifier with LBP features is used as a detector. Classification of the type and value of traffic signs is done using the k-Nearest Neigbour method.
|
|
|
Analysis of methods for vehicle speed estimation from video recordings
Woletz, Jakub ; Bradáč, Albert (referee) ; Křižák, Michal (advisor)
The thesis deals with methods that deal with the evaluation of speed from CCTV footage, either from a static camera (e.g. security cameras) or from a dynamic camera (e.g. dashboard cameras). The entire thesis first discusses the various methods available, then shows their application to specific camera footage and evaluates their accuracy. The result of the work is an analysis of the applicability and accuracy of these methods for specific types of video footage.
|
|
| |
|
|
Vehicle On-Board Camera Analysis
Kadeřábek, Jan ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis focuses on analysis of video from vehicle on-board camera. During the process of analysis, probihibitory traffic signs are detected and their specific type is classified. For recognized speed limit signs, their numeric value is extracted. From the processed information, it will try to create a file containing the unique occurrences of traffic signs including their GPS coordinates. For the purpose of detection and recognition of traffic signs, several data sets were created. A~cascade classifier with LBP features is used as a detector. Classification of the type and value of traffic signs is done using the k-Nearest Neigbour method.
|
guest ::
