National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Vehicle Speed Estimation from On-Board Camera Recording
Janíček, Kryštof ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis describes the design and implementation of system for vehicle speed estimation from on-board camera recording. Speed estimation is based on optical flow estimation and convolutional neural network. Designed system is able to estimate speed with average error of 20% on created data set where actual speed is greater than 35 kilometers per hour.
License Plate Detection and Recognition from Still Image
Janíček, Kryštof ; Sochor, Jakub (referee) ; Špaňhel, Jakub (advisor)
This thesis describes the design and implementation of system for detection and recognition of license plate. This system is divided into three parts which are license plate detection, character segmentation and optical character recognition. License plate detection is done by cascade classifier that achieves hit rate of 95.5% and precision rate of 95.9%. Character segmentation is based on contour finding that achieves hit rate of 93.3% and precision rate of 96.5%. Optical character recognition is done by neural network and achieves hit rate of 98.4% for individual characters. The whole system is able to detect and recognize up to 81.5% of license plates from the test data set.
Vehicle Speed Estimation from On-Board Camera Recording
Janíček, Kryštof ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis describes the design and implementation of system for vehicle speed estimation from on-board camera recording. Speed estimation is based on optical flow estimation and convolutional neural network. Designed system is able to estimate speed with average error of 20% on created data set where actual speed is greater than 35 kilometers per hour.
License Plate Detection and Recognition from Still Image
Janíček, Kryštof ; Sochor, Jakub (referee) ; Špaňhel, Jakub (advisor)
This thesis describes the design and implementation of system for detection and recognition of license plate. This system is divided into three parts which are license plate detection, character segmentation and optical character recognition. License plate detection is done by cascade classifier that achieves hit rate of 95.5% and precision rate of 95.9%. Character segmentation is based on contour finding that achieves hit rate of 93.3% and precision rate of 96.5%. Optical character recognition is done by neural network and achieves hit rate of 98.4% for individual characters. The whole system is able to detect and recognize up to 81.5% of license plates from the test data set.
Management informační bezpečnosti
Janíček, Kryštof ; Čermák, Igor (advisor) ; Čelikovská, Martina (referee)
Information Security Management System (ISMS) gets superior level of importance. This paper focuses on Information Security Management and International Information Security Standards ISO/IEC 27001 and ISO/IEC 27002 (IISS). First par of thesis reviews the historical context and introduces the field to gain better understanding of following elaborate analysis of the changes, benefits, threats and consequences of ISMS. This paper objective to analyse older and newer issues of IISS based on comparative approach to evaluate benefits and risks of these changes, that ultimately reflect possible future developments.

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