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Moving Object Detection in Video Using CUDA
Horák, František ; Nečas, Ondřej (referee) ; Herout, Adam (advisor)
This thesis deals with methods of moving object detection in video; by selecting and applying proper algorithms and implementing them with CUDA. Technology CUDA is described and wieved it's architecture and other parts. General principles of moving object detection are observed and modification are discussed. Final system is implemented and tested.
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Vehicle Speed Measurement by a Stationary Camera
Juřica, Tomáš ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
This Bachelor's thesis deals with the problematic of car speed measurement from video footage captured by a stationary camera. Development of a tool focused on reaching maximum accuracy of measurements with minimal user effort has been covered in this work. Perception of scene dimensions is acquired by using known points in the scene, which are manually marked. The influence of the way of annotating car position and input video quality on maximal reachable accuracy has also been discussed in this work.
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Fire Detection in Images and Video
Poledník, Tomáš ; Juránková, Markéta (referee) ; Přibyl, Bronislav (advisor)
This bachelor's thesis deals with fire detection in image and video. Attention is paid to the existing methods and known approaches to fire detection. Based on the analysis of the described methods, a fire detector, monitoring the attributes of its colour and motion, is designed, implemented and tested. The implemented detector achieves true positive detection rate of up to 90%.
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Motion Detection in Video
Půček, Petr ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
This bachelor thesis deals with motion detection in video recorded on stationary camera. It describes the process of solution and implementation of motion detection app on Windows platform using OpenCV library for image processing. These principles of image analysis and processing can be used in any other systems.
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Game with Hand Gesture Control
Kartous, Petr ; Zemčík, Pavel (referee) ; Hradiš, Michal (advisor)
This work is focused on controlling the game by using hand gestures. The main part of the work is image segmentation and detection of the hand in picture. For the segmentation of the image are used techniques of skin detection and the background subtraction with adaptive model of the background. Also the methods of mathematical morphology to eliminate the noise from the image and the appropriate methods for transferring images of gestures to characteristic gestures in numerical form are mentioned. In the context of the work was a simple car race game created which is controlled by hand gestures. At the end there was a testing carried out to identify the advantages and disadvantages of used methods of image segmentation and to detect the used hand gestures. There were also several sets of gestures tested by which the game is controlled. The two sets which came out of the test most successfully are applicable depending on the quality of the hand gesture recognition.
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Tracking of Military Objects in a Videosignal
Hamada, Ondřej ; Váňa, Jan (referee) ; Orság, Filip (advisor)
First part of this thesis briefly describes the main problems of object tracking in video and methods to deal with them. Main attention is paid towards usage of these methods for target tracking in videos taken by both normal and thermal camera. It propose solution to this problem based on the kernel-based method which uses mean-shift algorhitm and on the template matching. Both tracking methods results are supervised and corrected by Kalman filter. Proposed solution is implemented using C++ with OpenCV library.
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Game with Hand Gesture Control
Baštek, Jozef ; Žák, Pavel (referee) ; Hradiš, Michal (advisor)
This paper is intended for computer vision usage as a way of human-computer interacion. It covers design and implementation of interface for game controlling by hand gestures and movements, that are captured by camera. It describes and evaluates image segmentation algorithms (background subtraction, thresholding, Bayes' theorem, gaussian model) as well as hand gesture classification algorithms (knowledge-based classification, Hu invariant moments and K-nearest neighours). Implementation includes machanical contruction of camera holder and 3D FPS game as a interface usage demonstration.
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Hand Gesture Recognition
Adámek, Jakub ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is focused on human hand gesture recognition. The main part of the work deals with image segmentation of videosequences for further gesture recognition. For the image segmentation, techniques such as face detection followed by skin detection in combination with background subtraction method are used. In order to eliminate noise, methods of mathematic morphology are applied. The work focuses only on dynamic hand gesture recognition. The proposed gesture recognition system is inspirited by hidden Markov model method. The last chapter of the thesis discusses the accuracy of the gesture recognition.
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Optical Localization System with a Pan/Tilt Camera
Senčuch, Daniel ; Musil, Petr (referee) ; Beran, Vítězslav (advisor)
The effective surveillance of large critical areas is crucial for their security and privacy. There is no publicly available and acceptable solution of automating this task. This thesis aims to create an application utilizing a combination of a pan-tilt robotic manipulator and a visible-spectrum camera. Based on the pan-tilt unit's position and camera's images, the application searches for semantically significant changes in the captured environment and marks these regions of interest.
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Detection of Red-Light Violation
Šorf, Milan ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This thesis is focused on automatic detection of red-light violation using static camera. Theoretical part of the thesis describes the principle of detection and introduces various methods of detecting traffic lights and cars as well as their reliability metrics. The thesis also illustrates implementation of the application for evaluation of these methods.
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