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Video Anonymization
Mokrý, Martin ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design and create an automatic system for video anonymization. This system makes use of various object detectors on an image to ensure functionality, as well as active tracking of objects detected in this manner. Adjustments are later applied to these detected objects which ensure sufficient level of anonymization. The main asset of this system is speeding up the anonymization process of videos that can be published after.
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Moving objects monitoring system
Orolin, Jakub ; Šteffan, Pavel (referee) ; Háze, Jiří (advisor)
The presented thesis deals with the design of a system capable of tracking the moving objects. The output of the thesis is the prototype layout of the device. Facility will be physically placed between the camera and the tripod in the dissertation and tested in real conditions. The role of this system is to automatically rolling the camera up the selected moving object.
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Person Following by Spot Light Using Camera
Rajnoch, David
This paper describes design of person tracking system connected to spot light fixture. System is able to track actor or narrator walking on stage in theatre. System is designed to be easy to use and configure. Several issues connected with such tracking is mentioned in text below.
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Object tracking in video
Boszorád, Matej ; Přinosil, Jiří (referee) ; Rajnoha, Martin (advisor)
This bachelor thesis deals with the issue of tracking multiple objects in a video, specifically focusing on non-learning algorithms. The first chapter represents the theoretical part of the thesis, in which some of the often used tracking methods are described, such as mean-shift, scale-invariant object transformation, Kalman filter, particle filter and Gabor wavelet transformation. These algorithms are broken down by properties they use for proper tracking. The chapter also contains section assignment problem, which is mainly concerned with Hungarian algorithm. The next part describes options of merging multiple tracking methods that are broken down by construction type into parallel, cascade, weighted and discriminatory with example for each one. Moreover there is described adaptability of the tracking system. Bellow are described problems which may occur during tracking and possible solutions to them. This section consists of a solution of image noise, changes in illumination, appearance and extinction of an object, focusing mainly on solving the problem of object occlusion. Within the practical part is created algorithm composed of different types of tracking, the results of which are then compared with selected tracking systems from the multiple object tracking benchmark. The practical part includes the tools used and the explanation of the design, in which the main classes and methods used for the tracking are explained. Besides that, this section describes parallel merging and tracking adaptability . The results of the thesis contain a comparison of the use of tracking techniques separately and together. To compare the results, videos for pedestrian tracking and face tracking were used. This thesis was based on the assumption that merging multiple monitoring systems will help with the improvement of the tracking, which was confirmed by the results.
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Robotics Gun Turret for Perimeter Guarding - Target Detection
Kaplenko, Mykola ; Kopečný, Lukáš (referee) ; Žalud, Luděk (advisor)
The basis for the efficient operation of any autonomous device are control algorithms. Therefore, the bachelor thesis is dedicated to the management problems one of the most promising types of weapon - automatic weapon towers. In the framework of the given work there is an overview of the object detection methods in the picture and comparing the advantages and disadvantages of using different methods in different surrounding conditions. On the basis of the analysis, the light mark detecting algorithm (red dot from the laser pointer) is designed. The stepper motor control algorithm of the automatic weapon tower is designed on the basis on the performed theoretical calculations. For the declared algorithms are offering possible improvements and analyzing their strengths and weaknesses.
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Video analysis for entomology
Šerý, Martin ; Pelikán, Josef (advisor) ; Schier, Jan (referee)
Analysis of behavioral patterns of Drosophila Melanogaster species is a sub- ject of study of many laboratories. The behavior of individuals, for example in different gene lines, is monitored. In order for this analysis to be possible, it is necessary to have a device that is capable of tracking the fly and providing machine-readable data about them. These data are the output of a trace pro- gram FlyCatcher, which records the positions of the observed objects. Thanks to this, we can determine the location, the mutual position of individuals and other parameters. FlyCatcher is based on the use of the AForge library which handles multimedia files. FlyCatcher lets us process videos made in the lab and provide outputs in the .csv format. This format is further processed by external statistical programs.
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Online interest point detector
Přibyl, Jakub ; Rajnoha, Martin (referee) ; Mašek, Jan (advisor)
This thesis focuses on online learning detector for long-term tracking of object in video sequence. The object is defined by a bounding box. The text describes different parts of the detector: object tracking, object detection and online learning detector. The main contribution of this work is creating extension of the OpenTLD program for parallel detection and tracking of multiple objects. The parallelization is then compared on two practical examples and the processor's impact on detection is compared. The best results were achieved with parallelization, where all objects were detected. The most accurate detection was in the case of sufficiently learned objects with the smallest shape change.
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Robotics Gun Turret for Perimeter Guarding - Target Detection
Kaplenko, Mykola ; Kopečný, Lukáš (referee) ; Žalud, Luděk (advisor)
The basis for the efficient operation of any autonomous device are control algorithms. Therefore, the bachelor thesis is dedicated to the management problems one of the most promising types of weapon - automatic weapon towers. In the framework of the given work there is an overview of the object detection methods in the picture and comparing the advantages and disadvantages of using different methods in different surrounding conditions. On the basis of the analysis, the light mark detecting algorithm (red dot from the laser pointer) is designed. The stepper motor control algorithm of the automatic weapon tower is designed on the basis on the performed theoretical calculations. For the declared algorithms are offering possible improvements and analyzing their strengths and weaknesses.
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