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Camera based eye tracking
Otáhal, Miroslav ; Walek, Petr (referee) ; Janoušek, Oto (advisor)
The aim of this master thesis is to understand problematic of eyes movement tracking using webcam. In individual chapters there are introduced basic approaches of eyes movement tracking, based on this method we can get the position of eye pupil and identify where a person looks. The part of this work is program in Matlab, which using the method of infrared detection follow the position of eye pupil and transfer this movements to the movements on the computer screen. Using this program it was tested several volunteers and the results of detection were transferred to the visual form. As part of this program it was created template for assessment of accuracy of used method. At the end of work are discussed achieved results.
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Environment mapping
Juriga, Jakub ; Pavlík, Jan (referee) ; Bilík, Martin (advisor)
This bachelor thesis deals with various possibilities and methods that are available for studying especially of underwater environment. After comparing of the various methods, it is focused mainly on sonars and echolots from their history through their artition by type / kind of broadcast signal, kind of ray and possibilities of the resulting image display, to the different methods of reading of the image and the ability to analyze it properly. In the next part thesis, the attention is dedicated to the application of these technologies in different detection systems, due to the correct understanding of the detection, the principle of operation of the input signal and the gradual transfer to the resulting image suitable for further processing are described. In the conclusion, the already used distinguishing methods are described and also their potential future use.
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Tasks Board Optical Recognition
Sznapka, Jakub ; Trchalík, Roman (referee) ; Kreslíková, Jitka (advisor)
The master's thesis deals with the optical recognition of the tasks board in the agile environment. Based on theoretical knowledge about the agile project management, the concept of the task board is introduced. Possible representations of this agile tool are discussed, as well as their advantages and disadvantages. In connection with the optical recognition of the objects, follows the theoretical part dealing with barcodes, their structure and methods of detection and decoding. Based on these facts, the application design is reflecting all the needs specified by the company Siemens CT DC which is the contracting authority of the project. Implemented solution used for synchronization between the physical and virtual task board is able to detect the task cards with reliability about 95 % and allows the full synchronization of the task board during the four cycles. Deployment in the software development team and using the fully automated mode brings approximately five times quicker synchronization than it was before. In a case of semi-automated mode, it is about three times faster than before.
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Tasks Board Optical Recognition
Sznapka, Jakub ; Trchalík, Roman (referee) ; Kreslíková, Jitka (advisor)
The master's thesis deals with the optical recognition of the tasks board in the agile environment. Based on theoretical knowledge about the agile project management, the concept of the task board is introduced. Possible representations of this agile tool are discussed, as well as their advantages and disadvantages. In connection with the optical recognition of the objects, follows the theoretical part dealing with barcodes, their structure and methods of detection and decoding. Based on these facts, the application design is reflecting all the needs specified by the company Siemens CT DC which is the contracting authority of the project. Implemented solution used for synchronization between the physical and virtual task board is able to detect the task cards with reliability about 95 % and allows the full synchronization of the task board during the four cycles. Deployment in the software development team and using the fully automated mode brings approximately five times quicker synchronization than it was before. In a case of semi-automated mode, it is about three times faster than before.
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Smoke and Fire Detection in Video Sequences
Havelka, Robert ; Juránek, Roman (referee) ; Španěl, Michal (advisor)
This master's thesis deals with fire detection in videosequences. Attention is paid to the known characteristics of fire and basic principles of existing solutions which deal with this issue. The thesis also describes design, implementation and testing of a fire detector that is based on the recognition of suspicious areas by fire color modeling, combined with detection of motion and light intensity variations.
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Camera based eye tracking
Otáhal, Miroslav ; Walek, Petr (referee) ; Janoušek, Oto (advisor)
The aim of this master thesis is to understand problematic of eyes movement tracking using webcam. In individual chapters there are introduced basic approaches of eyes movement tracking, based on this method we can get the position of eye pupil and identify where a person looks. The part of this work is program in Matlab, which using the method of infrared detection follow the position of eye pupil and transfer this movements to the movements on the computer screen. Using this program it was tested several volunteers and the results of detection were transferred to the visual form. As part of this program it was created template for assessment of accuracy of used method. At the end of work are discussed achieved results.
|
|
|
Environment mapping
Juriga, Jakub ; Pavlík, Jan (referee) ; Bilík, Martin (advisor)
This bachelor thesis deals with various possibilities and methods that are available for studying especially of underwater environment. After comparing of the various methods, it is focused mainly on sonars and echolots from their history through their artition by type / kind of broadcast signal, kind of ray and possibilities of the resulting image display, to the different methods of reading of the image and the ability to analyze it properly. In the next part thesis, the attention is dedicated to the application of these technologies in different detection systems, due to the correct understanding of the detection, the principle of operation of the input signal and the gradual transfer to the resulting image suitable for further processing are described. In the conclusion, the already used distinguishing methods are described and also their potential future use.
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