Thesis Details

Odhad pozice chodidel v obraze

Master's Thesis Student: Havlíček Lukáš Academic Year: 2021/2022 Supervisor: Goldmann Tomáš, Ing.
English title
Estimation of the Position of the Feet in a Image
Language
Czech
Abstract

This thesis deals with the design and implementation of solution for estimating the position of the feet in the image, focusing on cases where the feet are covered in the image. The area of anthropometry, neural networks, solution design and implementation and subsequent experiments are described here. The solution uses own convolutional network, implemented using the Keras interface with the creation of own dataset with a focus on covered legs. In the experiments, other points on the body are used to increase accuracy.

Keywords

neural networks, anthropometry, CNN, machine learning, Python, Keras, COCO dataset

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology and Artificial Intelligence, Specialization Application Development
Files
Status
defended, grade B
Date
20 June 2022
Reviewer
Orság Filip, Ing., Ph.D.
Committee
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), předseda
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Polčák Libor, Ing., Ph.D. (DIFS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
HAVLÍČEK, Lukáš. Odhad pozice chodidel v obraze. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-20. Supervised by Goldmann Tomáš. Available from: https://www.fit.vut.cz/study/thesis/22687/
BibTeX 
@mastersthesis{FITMT22687,
    author = "Luk\'{a}\v{s} Havl\'{i}\v{c}ek",
    type = "Master's thesis",
    title = "Odhad pozice chodidel v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22687/"
}

Theses

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