Određivanje smjera gledanja konvolucijskim neuronskim mrežama

master's thesis

• Title (english): Determining the gaze direction by convolutional neural networks
• Author: Mirko Jurić-Kavelj
• Mentor: Siniša Šegvić (mentor)
• Committee member: Siniša Šegvić (predsjednik povjerenstva)
• Committee member: Zoran Kalafatić (član povjerenstva)
• Committee member: Marko Čupić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2015-02-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu napravljen je kratak pregled neuronskih mreža s naglaskom na
konvolucijske neuronske mreže. Cilj rada bio je napraviti sustav koji
iz datog skupa slika osoba koje gledaju u ekran nauči u koju točku na
ekranu osoba gleda koristeći konvolucijske neuronske mreže.
Korištena je gotova biblioteka za treniranje konvolucijskih neuronskih mreža
Caffe, opisan je način njenog korištenja, te su implementirani vlastiti alati za
prikupljanje vlastitog skupa za učenje.
Na kraju su opisani dobiveni rezultati.

Abstract (english)

This paper made a brief overview of neural networks with a focus on
convolutional neural networks. The aim was to create a system that, from a
given set of images of people who look at the screen, learns where on the
screen people are looking at. The system is based on convolutional neural
networks. Framework for training and deploying convolutional neural
networks Caffe was used. This paper describes how it is used. In order to
obtain training and testing data additional tools were implemented.
Finally, the obtained results from experiments were discussed.

• Keywords: računalni vid; neuron; umjetne neuronske mreže; konvolucijske neuronske mreže; Caffe; smjer pogleda; strojno učenje; gradijentni spust; MNIST; klasifikacija
• Keywords (english): computer vision; neuron; artificial neural network; convolutional neural network; Caffe; gaze direction; machine learning; gradient descent; MNIST; classification
• Language: croatian
• URN:NBN: urn:nbn:hr:168:637051
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 21:21:09