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undergraduate thesis
Primjena histograma orijentiranih gradijenata za detekciju objekata
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:863828
Jahaj, Bljeona
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Multimedia Systems and Digital Television

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Jahaj, B. (2020). Primjena histograma orijentiranih gradijenata za detekciju objekata (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:863828

Jahaj, Bljeona. "Primjena histograma orijentiranih gradijenata za detekciju objekata." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:863828

Jahaj, Bljeona. "Primjena histograma orijentiranih gradijenata za detekciju objekata." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:863828

Jahaj, B. (2020). 'Primjena histograma orijentiranih gradijenata za detekciju objekata', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 29 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:863828

Jahaj B. Primjena histograma orijentiranih gradijenata za detekciju objekata [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 April 29] Available at: https://urn.nsk.hr/urn:nbn:hr:200:863828

B. Jahaj, "Primjena histograma orijentiranih gradijenata za detekciju objekata", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:863828

Metadata
TitlePrimjena histograma orijentiranih gradijenata za detekciju objekata
Title (english)Usage of histogram of oriented gradients for object detection
AuthorBljeona Jahaj
MentorSnježana Rimac-Drlje (mentor)
Committee memberSnježana Rimac-Drlje (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberKrešimir Grgić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Chair of Multimedia Systems and Digital Television)
Osijek
Defense date and country2020-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Telecommunications and Informatics
Abstract
Ovim radom je detaljno prikazan proračun histograma orijentiranih gradijenata (HOG) te primjena ovih histograma kao deskriptora značajki objekta. Objašnjena je normalizacija, konvolucija slike i proračun histograma. Nadalje objašnjena je primjena stroja s potpornim vektorima za detekciju i prepoznavanje objekata primjenom HOG-a kao deskriptora značajki. Objašnjena je i funkcija HOG u programskom sučelju Python. Na nekoliko primjera pokazana je učinkovitost ovog algoritma za detekciju i prepoznavanje objekata
Abstract (english)
This paper presents in detail the calculation of histograms of oriented gradients (HOG) and the application of these histograms as object characteristics descriptors. Normalization, image convolution, and histogram calculation are explained. The paper describes the application of a machine with support vectors for object detection and recognition using HOG as a feature descriptor. The HOG function in the Python programming interface is also explained. Several examples show the efficiency of this algorithm for object detection and recognition.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:863828
Study programmeTitle: Undergraduate University Study Programme
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-12-04 08:10:17