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Motion detection based on an accelerometer measurement
Štancl, František ; Šimek, Milan (referee) ; Pál, Tamás (advisor)
This thesis is devoted to detect motion and it is focused on energy consumption. The introduction involves possible ways for acceleration measuring and discusses The MEMS technology in accelerometers. It also describes components used in a low-power module and some suggestions leading to resolution of this issue. This thesis includes the module design as well, PCB design and software equipment. Finally, it evaluates the results and the solution accuracy.
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Hand Motion Recognition
Blaho, Juraj ; Beran, Vítězslav (referee) ; Hradiš, Michal (advisor)
The aim of this work is to design and implement a novel computer interface based on detection and tracking of a hand in an image from a single camera. The created interface doesn't require any special hardware and it is possible to use it on a common computer with standard web-camera. The implemented interface was used to create an application, which is able to synthesize keyboard and mouse input events and this way it is able to control existing programs without the need to change their source code. Another contribution of this work is a novel method of automatic data acquisition for training of hand detectors. By using this method it is possible to collect thousands of training examples in a few hours.
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Linear drive control based on object motion detection
Novotná, Eliška ; Harabiš, Vratislav (referee) ; Sekora, Jiří (advisor)
The diploma thesis deals with motion detection and linear drive control. The diploma thesis is divided into a theoretical part, where the part of ultrasonic sensors and linear actuators, including the types of individual linear actuators, is mainly described and explained. The practical part presents the solution itself, both in terms of hardware and software. This part therefore contains the system design together with the flowcharts and the simplified 3D design of the structure. At the end of the work is given a sample of the final structure.
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Moving Object Detection in the Environment of Mobile Robot
Dorotovič, Viktor ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work's aim is movement detection in the environment of a robot, that may move itself. A 2D occupancy grid representation is used, containing only the currently visible environment, without filtering in time. Motion detection is based on a grid-based particle filter introduced by Tanzmeister et al. in Grid-based Mapping and Tracking in Dynamic Environments using a Uniform Evidential Environment Representation. The system was implemented in the Robot Operating System, which allows for re-use of modules which the solution is composed of. The KITTI Visual Odometry dataset was chosen as a source~of LiDAR data for experiments, along with ground-truth pose information. Ground segmentation based on Loopy Belief Propagation was used to filter the point clouds. The implemeted motion detector is able to distiguish between static and dynamic vehicles in this dataset. Further tests in a simulated environment have shown some shortcomings in the detection of large continuous moving objects.
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Motion Detection in Video Sequences
Chadim, Petr ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis deal with a problem of motion detection in video sequence. The basic principle of method Bacground subtraction and the algorithm for searching differences between frames were described in details. Great attention is made for actualization of referential frame. Part of this thesis is a localization of motion object. The result of this thesis is an application for testing of motion detector in different environments.
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Analysis of Parking Availability
Stránský, Václav ; Rozman, Jaroslav (referee) ; Marvan, Aleš (advisor)
This thesis deals with an analysis of parking availability. The task is to determine the occupancy of predefined parking places in the sequence of color images acquired by a fixed camera. The thesis describes the design, implementation, and testing of three utilized methods for car detection, i.e. background modelling, edge detection, and histogram comparison. These methods are combined in order to obtain a more robust and accurate solution. The proposed system has been successfully tested on several real scenarios.
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Embedded video processing for surveillance systems
Gerych, Lukáš ; Polák, Ladislav (referee) ; Frýza, Tomáš (advisor)
The thesis includes the design and implementation of embedded system to capture static scenes and image evaluation for the surveillance system. It is performed on a tiny computer Raspberry Pi with ARM processor. Methods are provided for various types of detection in the image and their implementation using OpenCV libraries. It also deals with ways to access the system for the control and viewing records of detections.
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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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Augmented Reality Using Video from a Stationary Camera
Lagová, Lenka ; Szentandrási, István (referee) ; Herout, Adam (advisor)
This thesis deals with the issue of creating applications of augmented reality. There are described types of augmented reality, problems associated with developing of applications of this kind. Also there is description of method for detection of moving objects from the record of stationary camera. The thesis deals with camera calibration using knowledge of scene geometry. Scene editor for scene geometry estimation is included in this work. Augmented reality is represented by physical simulations, where object from virtual reality interacts with detected objects and with objects defined in scene editor.
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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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