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Visualization of Crowd Behavior Analysis Using Drone Videodata
Dobeš, Zdeněk ; Španěl, Michal (referee) ; Bažout, David (advisor)
The purpose of this work is to design and implement an user interface for visualizing videodata from a drone. The document consists of a description of the construction of a design until its implementation in the form of a web application. It uses the Django application framework, the React web framework and variety of APIs with Google Map API at the top. It aims to create an intuitive environment for monitoring sectors on a map with drones and offers useful tools to make it easier.
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Smart Home: Learning Control of Heating
Milostný, Tomáš ; Bažout, David (referee) ; Materna, Zdeněk (advisor)
This bachelor thesis deals with the implementation of a prototype smart home ecosystem focused on home heating. The goal is to create software running on a Raspberry Pi device that, with the help of machine learning predictions, will be able to control and monitor a network of electric direct heating convectors controlled by switching a simple Wi-Fi relay Shelly 1PM. The resulting solution should also have a lower price than conventional smart thermostats.
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Crowd Behavior Anomaly Detection in Drone Videodata
Bažout, David ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
There have been lots of new drone applications in recent years. Drones are also often used in the field of national security forces. The aim of this work is to design and implement a tool intended for crowd behavior analysis in drone videodata. This tool ensures identification of suspicious behavior of persons and facilitates its localization. The main benefits include the design of a suitable video stabilization algorithm to stabilize small jitters, as well as trace back of the lost scene. Furthermore, two anomaly detectors were proposed, differing in the method of feature vector extraction and background modeling. Compared to the state of the art approaches, they achieved comparable results, but at the same time they brought the possibility of online data processing.
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Detection of Wanted People in Video
Bažout, David ; Musil, Petr (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to create a software tool for searching of wanted people in video recordings from surveillance cameras. Wanted people are identified to the system using multiple facial photos. The output consists of information on the occurrence of wanted persons in specific frames. The problem consists of face detection and its subsequent identification task. Experiments with existing approaches on appropriate datasets provide relevant comparisons of method performance under different conditions. Appropriate methods and their optimal settings for this particular task are chosen according to the results of the experiments. The thesis also deals with the design of suitable architecture, research of existing libraries implementing the tested methods and other ways of optimizing the calculation. The result is the implementation of a user application that meets the specified parameters. The application's functionality has been tested on the own dataset simulating real-world conditions.
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