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Video-Based Human-Computer Interface
Caha, Miloš ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
A bachelor thesis deals with methods about a detection of direction of look and with theirs following applications for PCs control. The thesis summarises and describes the most widely used methods for individual phases of the mentioned detection. Especially, use of a face detector and of convolution filters for searching of significant points in the face is used. The work is concentrated on a design and a description of an implementation of the application which demonstrates the method of contactless PCs control.
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Gaze Detection
Caha, Miloš ; Herout, Adam (referee) ; Španěl, Michal (advisor)
Main object of this work is to design and implement the algorithm for look direction determination, respectively the head movement. More specifically, it is a system that searches face in the video and then detects points, suitable for view direction estimation of tracked person. Estimation is realized using searching transformation, which has been performed on key points during head movement. For accuracy enhancement the calibration frames are used. Calibration frames determines the key points transformation in defined view directions. Main result is an application able to determine deflection of head from straight position in horizontal and vertical direction for tracked person. Output doesn't contain only information about deflection direction, but it also contains the size of deflection.
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Evaluation of blinking and the observed place on the monitor
Klimeš, Petr ; Jirgl, Miroslav (referee) ; Janáková, Ilona (advisor)
The purpose of this thesis is to create a system for user’s gaze and eye analysis in a driving simulator. There is a research of existing methods for facial landmark detection, head pose and gaze estimation and eye blink detection. Software and hardware of the simulator is described and a camera is added for user recording. In the main part, the Eye Aspect Ratio method is tested for blink detection. Next, head pose detection from facial landmarks is tested. Furthermore, Convolutional Neural Networks are created and trained for gaze estimation. From existing algorithms, OpenFace library is tested. OpenFace library is added to existing software in Unreal Engine and used for gaze and blink detection. A gaze calibration procedure is created and tested for better accuracy.
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Evaluation of blinking and the observed place on the monitor
Klimeš, Petr ; Jirgl, Miroslav (referee) ; Janáková, Ilona (advisor)
The purpose of this thesis is to create a system for user’s gaze and eye analysis in a driving simulator. There is a research of existing methods for facial landmark detection, head pose and gaze estimation and eye blink detection. Software and hardware of the simulator is described and a camera is added for user recording. In the main part, the Eye Aspect Ratio method is tested for blink detection. Next, head pose detection from facial landmarks is tested. Furthermore, Convolutional Neural Networks are created and trained for gaze estimation. From existing algorithms, OpenFace library is tested. OpenFace library is added to existing software in Unreal Engine and used for gaze and blink detection. A gaze calibration procedure is created and tested for better accuracy.
|
|
|
Gaze Detection
Caha, Miloš ; Herout, Adam (referee) ; Španěl, Michal (advisor)
Main object of this work is to design and implement the algorithm for look direction determination, respectively the head movement. More specifically, it is a system that searches face in the video and then detects points, suitable for view direction estimation of tracked person. Estimation is realized using searching transformation, which has been performed on key points during head movement. For accuracy enhancement the calibration frames are used. Calibration frames determines the key points transformation in defined view directions. Main result is an application able to determine deflection of head from straight position in horizontal and vertical direction for tracked person. Output doesn't contain only information about deflection direction, but it also contains the size of deflection.
|
|
|
Video-Based Human-Computer Interface
Caha, Miloš ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
A bachelor thesis deals with methods about a detection of direction of look and with theirs following applications for PCs control. The thesis summarises and describes the most widely used methods for individual phases of the mentioned detection. Especially, use of a face detector and of convolution filters for searching of significant points in the face is used. The work is concentrated on a design and a description of an implementation of the application which demonstrates the method of contactless PCs control.
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