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undergraduate thesis
Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže
2022. urn:nbn:hr:168:371630
Štracak, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Štracak, J. (2022). Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:371630

Štracak, Jakov. "Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:371630

Štracak, Jakov. "Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:371630

Štracak, J. (2022). 'Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:371630

Štracak J. Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:371630

J. Štracak, "Prepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:371630

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Metadata
TitlePrepoznavanje akcije čovjeka zasnovano na kosturu pomoću transformer mreže
Title (english)Skeleton-based Human Action Recognition via Transformer Networks
AuthorJakov Štracak
MentorMarija Seder (mentor)
Committee memberMarija Seder (član povjerenstva)
Committee memberBorna Bićanić (član povjerenstva)
Committee memberJelena Gregorić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi proučavanjem i opisivanjem načina rada Kinect senzora i transfor- mer mreže pri prepoznavanju akcije kostura. Ulazni podatci su položaji skeleta snim- ljeni Kinect senzorom te provedeni u odred̄eni format sukladan kodu kroz koji prolaze. Algoritam je rad̄en na temelju transformer mreže uz prostorni i vremenski tok. Mreža se trenira s ulazima koordinatnih položaja svakog zgloba te kasnije predvid̄a odred̄ene kretnje.
Abstract (english)
This work is studying the way Kinect sensor and transformer neural networks work when it comes to skeleton action recognition. Input data is determined by the position of skeleton joints recorded by Kinect sensor which is afterwards transformed into fitta- ble format for the algorithm. The algorithm is based on the transformer network which consists of two streams, spatial and temporal. The network is trained with the inputs of the coordinate positions of each joint and later predicts certain action.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:371630
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 on2023-01-14 21:49:33