|
|
Multimedia player controlled by hand gestures.
Novotný, Luděk ; Přinosil, Jiří (referee) ; Olejár, Adam (advisor)
This diploma thesis deals with the hand gesture detector. Theoretical part is devoted to the discussion of current segmentation and detection methods. They were chosen those, which would work best as the controlling methods of multimedia player. The proposed algorithm is described with the help of flowcharts. Detector is written in Java language with the use of OpenCV library. Background subtraction segmentation method and convex hull approximation are used for gesture detection. Detector can distinguish between six gestures and track the center of palm. Finally, the detector was connected with proposed and implemented document, image and multimeda files browser.
|
|
|
Kinect-Based Gesture Recognition
Zapletal, Filip ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This paper describes methods of obtaining position data of individual body parts using different technologies, with particular focus on Kinect. Based on this knowledge was designed and implemented library for the detection of dynamic motion gestures, which has been tested on a set of designed gestures.
|
|
|
Design of an assistive mobile robot for following people
Šamánek, Jan David ; Appel, Martin (referee) ; Adámek, Roman (advisor)
At the beginning of the thesis, several algorithms for person tracking, gesture detection, and person tracking are presented. The following section focuses on the description of the created program. Namely, the implementation of person detection, gesture detection, person tracking, and program application to the robotic platform. This work also handles the control of the robotic platform based on the outputs of the created program.
|
|
|
Multimedia player controlled by hand gestures.
Novotný, Luděk ; Přinosil, Jiří (referee) ; Olejár, Adam (advisor)
This diploma thesis deals with the hand gesture detector. Theoretical part is devoted to the discussion of current segmentation and detection methods. They were chosen those, which would work best as the controlling methods of multimedia player. The proposed algorithm is described with the help of flowcharts. Detector is written in Java language with the use of OpenCV library. Background subtraction segmentation method and convex hull approximation are used for gesture detection. Detector can distinguish between six gestures and track the center of palm. Finally, the detector was connected with proposed and implemented document, image and multimeda files browser.
|
|
|
Kinect-Based Gesture Recognition
Zapletal, Filip ; Šolony, Marek (referee) ; Žák, Pavel (advisor)
This paper describes methods of obtaining position data of individual body parts using different technologies, with particular focus on Kinect. Based on this knowledge was designed and implemented library for the detection of dynamic motion gestures, which has been tested on a set of designed gestures.
|
guest ::
