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undergraduate thesis
Računalni model strojnog vida za detekciju ljudi
2023. urn:nbn:hr:235:754292
Grabušić, Emil
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

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Grabušić, E. (2023). Računalni model strojnog vida za detekciju ljudi (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:754292

Grabušić, Emil. "Računalni model strojnog vida za detekciju ljudi." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:754292

Grabušić, Emil. "Računalni model strojnog vida za detekciju ljudi." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:754292

Grabušić, E. (2023). 'Računalni model strojnog vida za detekciju ljudi', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 08 May 2024, https://urn.nsk.hr/urn:nbn:hr:235:754292

Grabušić E. Računalni model strojnog vida za detekciju ljudi [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 May 08] Available at: https://urn.nsk.hr/urn:nbn:hr:235:754292

E. Grabušić, "Računalni model strojnog vida za detekciju ljudi", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:235:754292

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Metadata
TitleRačunalni model strojnog vida za detekciju ljudi
Title (english)Machine vision computing model for human detection
AuthorEmil Grabušić
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U teorijskom dijelu temeljito je objašnjen HOG algoritam koji se u ovom radu uz pomoću SVM klasifikatorom koristi u svrhu detekcije ljudi. U prvom dijelu je objašnjen sam postupak dobivanja histograma orijentiranih gradijenata te je prikazana povijest samog algoritma. Prikazane su i neke fotografije koje na slikovit način prikazuju samo razumijevanje algoritma. Zatim je objašnjen SVM klasifikator da bi se na kraju zaokružila priča i potkrijepila sva teorija sa praktičkim dijelom gdje se pomoću OpenCV programske biblioteke na video materijalu provodi detekcija ljudi. Na samom kraju izložen je kratak osvrt na rad samog algoritma.
Abstract (english)
In the theoretical part, the HOG algorithm is thoroughly explained, which is used in this paper with the help of the SVM classifier for the purpose of human detection. In the first part, the process of obtaining the histogram of oriented gradients is explained, and the history of the algorithm itself is presented. Some photos are also shown that graphically show the understanding of the algorithm itself. Then the SVM classifier was explained in order to round off the story and substantiate all the theory with a practical part where the detection of people is carried out on video material using the OpenCV program library. At the very end, a brief overview of the operation of the algorithm itself is presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:754292
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-09-25 09:46:06