prikaz prve stranice dokumenta Očitavanje pulsa osobe iz videosnimke lica
No public access
master's thesis
Očitavanje pulsa osobe iz videosnimke lica
2021. urn:nbn:hr:168:882288
Juraga, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Juraga, I. (2021). Očitavanje pulsa osobe iz videosnimke lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:882288

Juraga, Ivan. "Očitavanje pulsa osobe iz videosnimke lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:882288

Juraga, Ivan. "Očitavanje pulsa osobe iz videosnimke lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:882288

Juraga, I. (2021). 'Očitavanje pulsa osobe iz videosnimke lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:882288

Juraga I. Očitavanje pulsa osobe iz videosnimke lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:882288

I. Juraga, "Očitavanje pulsa osobe iz videosnimke lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:882288

Please login to the repository to save this object to your list.
Metadata
TitleOčitavanje pulsa osobe iz videosnimke lica
Title (english)Estimating the Person's Pulse From a Face Video Recording
AuthorIvan Juraga
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberZvonko Kostanjčar (član povjerenstva)
Committee memberKrešimir Križanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Diplomski rad bila je primjena dubokih neuronskih mreža u svrhu određivanja pulsa osobe preko video snimke lica. Izrada rada sastojala se od 3 glavna dijela: sakupljanje video zapisa i izrada skupa podataka, stvaranje arhitektura prikladnih za problem te donošenje zaključaka i zapažanja uspoređujući rezultate različitih modela. Ideja modela je rješavati problem prostora pomoću konvolucije dok bi problem vremenskog aspekta rješavala ponavljajući i potpuno povezani slojeva. Sama implementacija je izvedena u programskom jeziku Python, koristeći biblioteke Tensorflow i Keras.
Abstract (english)
The thesis was the application of deep neural networks for the purpose of determining a person's pulse through a video of the face. The development of the paper consisted of 3 main parts: collecting videos and creating a set of data, creating architectures suitable for the problem, and drawing conclusions and observations comparing the results of different models. The idea of the model is to solve the problem of space using convolution while the time aspect would solve repetitive and completely connected layers. The implementation itself was performed in the Python programming language using the Tensorflow and Keras libraries.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:882288
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-13 12:33:28