prikaz prve stranice dokumenta Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose
No public access
master's thesis
Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:232380
Ikić, Una
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ikić, U. (2023). Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:232380

Ikić, Una. "Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:232380

Ikić, Una. "Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:232380

Ikić, U. (2023). 'Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:232380

Ikić U. Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:232380

U. Ikić, "Snimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:232380

Metadata
TitleSnimanje ljudskog tijela u pokretu i usporedba sustava OptiTrack i OpenPose
Title (english)Human Body Motion Capture and Comparison of OptiTrack and OpenPose
AuthorUna Ikić
MentorTomislav Petković (mentor)
Committee memberTomislav Petković (predsjednik povjerenstva)
Committee memberDavor Petrinović (član povjerenstva)
Committee memberTomislav Pribanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-11, Croatia
Abstract
Snimanje ljudskog tijela u pokretu svoju primjenu pronalazi u raznolikim područjima poput sporta, medicine, rehabilitacije, nadzora, robotike, zabave i edukacije. U ovome radu uspoređuju se markerbased i markerless sustav za snimanje ljudskog pokreta. OptiTrack je točan i precizan sustav koji koristi markere, ali zahtijeva posebnu opremu i uvjete snimanja. OpenPose je sustav iz markerless skupine koji se temelji na dubokim neuronskim mrežama i koji prepoznaje ključne točke na tijelu. Osam kamera istodobno snimalo je četiri odabrane ljudske kretnje: sporo i brzo hodanje, skok prema naprijed i okret u mjestu. Nakon obrade snimljenih podataka pomoću oba sustava napravljena je usporedba x, y i z koordinata u vremenu za lijevo rame. Dobiveni rezultati pokazuju da trenutna implementacija OpenPose-a nije dovoljno dobra da zamijeni profesionalne sustave za praćenje ljudskog pokreta u mjerenjima koja zahtijevaju visoku preciznost. Razlike između dvaju sustava iznose do 37 centimetara, a postotak udaljenosti koje su manje od jednog centimetra za sve koordinate u prosjeku iznosi 21,73%, za udaljenosti manje od dva centimetra taj postotak iznosi 40,28%.
Abstract (english)
Human body motion capture finds applications in various fields such as sports, medicine, rehabilitation, surveillance, robotics, entertainment, and education. This paper compares marker-based and markerless systems for recording human movement. OptiTrack is an accurate and precise system that utilizes markers but requires special equipment and specific capturing conditions. OpenPose, on the other hand, is a markerless system based on deep neural networks that recognizes keypoints on the body. For the study, eight cameras simultaneously recorded four human movements: slow and fast walking, forward jump and turn in place. After processing the recorded data using both systems, a comparison of the x, y and z coordinates over time was conducted. The obtained results indicate that the current implementation of OpenPose is not sufficient to replace professional human motion tracking systems in measurements that require high precision. The differences between the two systems were found to be up to 97 centimeters. On average, the percentage of distances less than one centimeter for all coordinates was 21,73%, while the percentage of distances less than two centimeters was 40,28%.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:232380
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-10-11 09:04:48