National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
Gesture-Based Human-Computer Interface
Chaloupka, Jan ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This bachelor's thesis is about design and implementation of simple interface for hand gesture recognition. The interface is used as an extension of actual GUI elements. Skin color model is used for gesture segmentation, significant hand points (palm, fingers, fingertips) for gesture recognition. Designed interface is used for simple picture explorer controlling. Final application is capable of using simple gestures for scaling, rotation, pointing and click.
Video-Based Human-Computer Interface
Chrápek, David ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This bachelor´s thesis is focused on video-based human-computer interface controlled by movement of the whole head. By tracking relative positions of eyes and nose angles of head are determined and by movement of head simple gestures are recognized. For image processing Haar-cascades based on Viola-Jones of classifiers were used to recognize head, eyes and nose within the image and for their tracking mainly Lucas-Kanade optical flow method was used.
Gesture-Based Human-Computer Interface
Chaloupka, Jan ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This bachelor's thesis is about design and implementation of simple interface for hand gesture recognition. The interface is used as an extension of actual GUI elements. Skin color model is used for gesture segmentation, significant hand points (palm, fingers, fingertips) for gesture recognition. Designed interface is used for simple picture explorer controlling. Final application is capable of using simple gestures for scaling, rotation, pointing and click.
Video-Based Human-Computer Interface
Chrápek, David ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This bachelor´s thesis is focused on video-based human-computer interface controlled by movement of the whole head. By tracking relative positions of eyes and nose angles of head are determined and by movement of head simple gestures are recognized. For image processing Haar-cascades based on Viola-Jones of classifiers were used to recognize head, eyes and nose within the image and for their tracking mainly Lucas-Kanade optical flow method was used.
Video-Based Human-Computer Interface
Wiewiorka, Petr ; Hradiš, Michal (referee) ; Španěl, Michal (advisor)
This bachelor's thesis descripts a way of controlling a computer by hand gestures. Picture is taken from web camera, in which search for a position of hand in picture and recognize gesture. The gesture signal controls a computer. I use the OpenCV library for a work with picture. At the end are output pictures.

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