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undergraduate thesis
Usporedba metoda za detekciju i praćenje lica u videosekvencama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:403117
Benjak, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Benjak, J. (2019). Usporedba metoda za detekciju i praćenje lica u videosekvencama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:403117

Benjak, Jakov. "Usporedba metoda za detekciju i praćenje lica u videosekvencama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:403117

Benjak, Jakov. "Usporedba metoda za detekciju i praćenje lica u videosekvencama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:403117

Benjak, J. (2019). 'Usporedba metoda za detekciju i praćenje lica u videosekvencama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:403117

Benjak J. Usporedba metoda za detekciju i praćenje lica u videosekvencama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:403117

J. Benjak, "Usporedba metoda za detekciju i praćenje lica u videosekvencama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:403117

Metadata
TitleUsporedba metoda za detekciju i praćenje lica u videosekvencama
Title (english)Comparison of face detection and tracking methods in video sequences
AuthorJakov Benjak
MentorSonja Grgić (mentor)
Committee memberSonja Grgić (predsjednik povjerenstva)
Committee memberDario Bojanjac (član povjerenstva)
Committee memberMarko Bosiljevac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu dan je pregled postojećih metoda za detekciju i praćenje lica u videosekvencama, pokazalo se koje su metode efikasne i kako uvjeti pod kojim je scena snimana utječu na efikasnost pojedinih metoda. Neke od metoda koje su obrađene jesu detekcija pomoću Haarovih kaskada, detekcija lica preko boje ljudske kože te algoritam za praćenje detektiranog lica, Camshift.
Abstract (english)
This paper presents an overview of existing methods for detection and tracking faces in video sequences, showing which methods are effective and how the conditions under which the scene is being recorded affect the efficiency of particular methods. Some of the methods discussed are detection by Haar cascades, face detection over human skin color and face tracking algorithm, Camshift.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:403117
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 16:44:05