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Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions
U: 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). / Li, W ; Li, Q ; Wang, L (ur.). IEEE, 2019. str. 1-6. https://doi.org/10.1109/CISP-BMEI.2018.8633201
Pobar, Miran; Ivašić-Kos, Marina

Institucijski repozitorij: Repozitorij Fakulteta informatike i digitalnih tehnologija Sveučilišta u Rijeci

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Pobar, M. i Ivašić Kos, M. (2019). Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions. U W. Li, (Ur.), Q. Li, (Ur.), L. Wang, (Ur.), 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (str. 1-6). IEEE. doi: 10.1109/CISP-BMEI.2018.8633201

Pobar, Miran i Marina Ivašić Kos. "Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions." 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Ur. W Li, Ur. Q Li, Ur. L Wang, IEEE, 2019, str. 1-6. https://urn.nsk.hr/urn:nbn:hr:195:399766

Pobar, Miran i Marina Ivašić Kos. "Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions." U 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 1-6. IEEE, 2019. Citirano 25.12.2024.. https://urn.nsk.hr/urn:nbn:hr:195:399766

Pobar, M. i Ivašić Kos, M. (2019) 'Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions', u Li, W. (ur.), Li, Q. (ur.), Wang, L. (ur.), 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), IEEE, str. 1-6. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:195:399766 (Datum pristupa: 25.12.2024.)

Pobar M, Ivašić Kos M. Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions. U: W. Li, ur., Q. Li, ur., L. Wang, ur. 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE; 2019. Str. 1-6. [pristupljeno 25.12.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:399766

M. Pobar i M. Ivašić Kos, "Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions", 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), W. Li, Q. Li i L. Wang, Ur. IEEE, 2019. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:399766 [Citirano: 25.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:195:399766
Podaci o radu
Naslov (engleski)Mask R-CNN and Optical Flow Based Method for Detection and Marking of Handball Actions
AutorMiran Pobar https://orcid.org/0000-0001-5604-2128
AutorMarina Ivašić-Kos https://orcid.org/0000-0002-1940-5089
UrednikW Li
UrednikQ Li
UrednikL Wang
Autorova ustanovaSveučilište u Rijeci
(Fakultet informatike i digitalnih tehnologija)
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Računarstvo
Umjetna inteligencija
Sažetak (engleski)
To build a successful supervised learning model for action recognition a large amount of training data needs to be labeled first. Labeling is normally done manually and it is a tedious and time-consuming task, especially in the case of video footage, when each individual athlete performing a given action should be labeled. To minimize the manual labor, we propose a Mask R-CNN and Optical flow based method to determine the active players who perform a given action among all players presented on the scene. The Mask R-CNN is a deep learning object recognition method used for player detection and optical flow measures player activity. Combining both methods ensures tracking and labeling of active players in handball video sequences. The method was successfully tested on a dataset of handball practice videos recorded in the wild.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeZavršna verzija rukopisa prihvaćena za objavljivanje (postprint)
Naslov zbornika2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Brojčani podacistr. 1-6
ISBN978-1-5386-7604-2 (Electronic ISBN)
ISBN978-1-5386-7605-9 (Print on Demand(PoD) ISBN)
DOIhttps://doi.org/10.1109/CISP-BMEI.2018.8633201
URN:NBNurn:nbn:hr:195:399766
Datum objave publikacije2019-02
ProjektŠifra: IP-2016-06-8345
Naziv (hrvatski): Automatsko raspoznavanje akcija i aktivnosti u multimedijalnom sadržaju iz domene sporta
Naziv (engleski): Automatic recognition of actions and activities in multimedia content from sports domain
Kratica: RAASS
Voditelj: Marina Ivašić Kos
Pravna nadležnost: Hrvatska
Financijer: HRZZ
Linija financiranja: IP
SkupNaziv: 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
Kratica: CISP-BMEI
Lokacija: Peking, Kina
Datum početka: 2018-10-13
Datum završetka: 2018-10-15
Vrsta izlaganja: Predavanje
URL dokumentahttps://ieeexplore.ieee.org/document/8633201
Vrsta resursaTekst
IzdavačIEEE
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
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Datum i vrijeme pohrane2023-02-12 20:14:08