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master's thesis
Deidentifikacija osoba u slikama
2017. urn:nbn:hr:168:507913
Srbljić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Srbljić, J. (2017). Deidentifikacija osoba u slikama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:507913

Srbljić, Josip. "Deidentifikacija osoba u slikama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:507913

Srbljić, Josip. "Deidentifikacija osoba u slikama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:507913

Srbljić, J. (2017). 'Deidentifikacija osoba u slikama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:507913

Srbljić J. Deidentifikacija osoba u slikama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:507913

J. Srbljić, "Deidentifikacija osoba u slikama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:507913

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Metadata
TitleDeidentifikacija osoba u slikama
Title (english)Person De-Identification in Images
AuthorJosip Srbljić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U sklopu ovog rada analizirana je problematika deidentifikacije osoba i osmišljena jednostavna aplikacija koja pomoću jednostavnih ad-hoc metoda vrši detekciju i deidentifikaciju osoba u slikama. Nadalje dan je pregled metoda detekcije i klasifikacije. Razvijena aplikacija također uz automatizirani proces deidentifikacije ad-hoc metodama, nudi mogućnost analize uspješnosti detekcije i deidentifikacije osoba analizirajući originalnu i deidentificiranu sliku osobe prema spolu, dobi i rasi.
Abstract (english)
This thesis analyzes the issue of de-identification of people in images. After concluding the problems of de-identification of people I designed a simple application that uses simple ad-hoc methods to detect and deidentify people in images. Furthermore, a review of detection and classification methods is provided. The developed application has a automated de-identification process with ad-hoc methods with the ability to analyze the detection and de-identification performance of a person by analyzing the original image and the image after the de-identification proces by gender, age, and race.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:507913
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 on2019-03-14 00:52:58