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master's thesis
Mjerenje pulsa iz video snimaka
2015. urn:nbn:hr:168:629912
Novaković, Mislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Novaković, M. (2015). Mjerenje pulsa iz video snimaka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:629912

Novaković, Mislav. "Mjerenje pulsa iz video snimaka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:629912

Novaković, Mislav. "Mjerenje pulsa iz video snimaka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:629912

Novaković, M. (2015). 'Mjerenje pulsa iz video snimaka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:629912

Novaković M. Mjerenje pulsa iz video snimaka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 October 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:629912

M. Novaković, "Mjerenje pulsa iz video snimaka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:629912

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Metadata
TitleMjerenje pulsa iz video snimaka
Title (english)Heart rate measurement from video sequences
AuthorMislav Novaković
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberSven Lončarić (član povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-02-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu ukratko smo objasnili teoretske osnove Kalmanovog filtra i Bayesovog pravila. Dali smo kratki opis izgradnje modela za Kalmanov filtar. Objasnili smo koji sve parametri utječu na rad Kalmanovog filtra i kako smo ih pokušali eliminirati. Obradili smo tri načina izvlačenja pulsa iz fizičkog svijeta, te njihove prednosti i mane. Te smo objasnili moguće nadogradnje Kalmanovog filtra i optimizacije.
Abstract (english)
In this paper, we have briefly explained the theoretical basis of the Kalman filter and the Bayes rule. We have given a brief description how we constructed the model for the Kalman filter. We have explained what parameters influence the Kalman filter and how we tried to eleiminate them. We have explained the tree main methods of extracting the heart rate signal from the physical world, and explained their advantage and disadvantage. And we elaborated the possible improvement of the Kalman filter and his optimization.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:629912
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-13 23:26:00