Thesis Details
Detekce výskytu objektů ve videozáznamu
This bachelor thesis deals with detection of objects in videos by using primarily convolution neural networks and creating simple user interface, which allows user to choose classification model and use it to analyze video or train given model on own dataset. First part is dedicated to description of machine learning and neural networks. After that follows the section about image description and image classification using machine learning algorithms and data augmentation. Last part deals with describtion of own design of neural network and user interface and describing achieved results.
artificial intelligence, machine learning, neural networks, convolutional neural networks, image, image segmentation, image classification, Python, Opencv, Tensorflow.
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT23030,
author = "Jan \v{S}am\'{a}nek",
type = "Bachelor's thesis",
title = "Detekce v\'{y}skytu objekt\r{u} ve videoz\'{a}znamu",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2020,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/23030/"
}