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master's thesis
Podudaranje osoba na osnovu histograma boje
2018. urn:nbn:hr:190:731923
Pinčić, Domagoj
University of Rijeka
Faculty of Engineering

Cite this document

Pinčić, D. (2018). Podudaranje osoba na osnovu histograma boje (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:731923

Pinčić, Domagoj. "Podudaranje osoba na osnovu histograma boje." Master's thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:731923

Pinčić, Domagoj. "Podudaranje osoba na osnovu histograma boje." Master's thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:731923

Pinčić, D. (2018). 'Podudaranje osoba na osnovu histograma boje', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 18 February 2025, https://urn.nsk.hr/urn:nbn:hr:190:731923

Pinčić D. Podudaranje osoba na osnovu histograma boje [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2025 February 18] Available at: https://urn.nsk.hr/urn:nbn:hr:190:731923

D. Pinčić, "Podudaranje osoba na osnovu histograma boje", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:731923

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Metadata
TitlePodudaranje osoba na osnovu histograma boje
AuthorDomagoj Pinčić
MentorKristijan Lenac (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2018-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rezultati dobiveni u ovom diplomskom radu pokazuju kako metode reidentifikacije osoba temeljene na histogramu boja pokazuju obećavajuće rezultate u problematici reidentifikacije osoba u RGB videozapisima. Prethodno samom procesu reidentifikacije, na svakoj slici unutar videozapisa su detektirane osobe koristeći MobileNetSSD neuralnu mrežu za detekciju objekata. Nakon toga se osobama pridjeljuje jedinstveni identifikacijski broj i osoba se prati dok god se nalazi u kadru kamere. Po izlasku iz... More kadra izvršava se proces reidentifikacije osobe odnosno usporedbe osobe sa svim osobama u bazi podataka. Uz procese detekcije, praćenja i reidentifikacije osoba izvršava se i segmentacija osobe od pozadine što pridonosi točnosti metoda reidentifikacije. Također, prikazana je usporedba točnosti nekoliko metoda reidentifikacije kao i testiranje metode bazirane na 3D histogramu boja u HSV modelu boja na snimljenom setu podataka koji uključuje 21 različitu osobu. Less
Abstract (english)
Results obtained in this work shows that methods for person re-identification based on color histograms show promising results when used on re-identifying persons in RGB video records. Before re-identification process persons are firstly detected in video record frames using MobileNetSSD neural network for object detection. After detection each person is assigned a unique identifying number and tracked as long as person is in the camera frame. After person has left the frame... More re-identification process is executed, where person is compared with all other persons in database. Along person detection, tracking and re-identification segmentation of person from background is implemented, which improves accuracy of re-identification methods. Also, accuracy comparison of several re-identification methods is shown, with additional tests on method based on 3D HSV color histogram on custom dataset made of 21 different persons. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:731923
Study programmeTitle: Computer Engineering
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 conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-06-05 09:16:34
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