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Detection of the leading player in handball scenes using Mask R-CNN and STIPS
U: Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018). / Verikas, A.; Nikolaev, D.P.; Radeva, P.; Zhou, J. (ur.). Society of Photo-Optical Instrumentation Engineers (SPIE), 2019. str. 501-508. https://doi.org/10.1117/12.2522668
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). Detection of the leading player in handball scenes using Mask R-CNN and STIPS. U A. Verikas, (Ur.), D. Nikolaev, (Ur.), P. Radeva, (Ur.), J. Zhou, (Ur.), Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018) (str. 501-508). Society of Photo-Optical Instrumentation Engineers (SPIE). doi: 10.1117/12.2522668

Pobar, Miran i Marina Ivašić Kos. "Detection of the leading player in handball scenes using Mask R-CNN and STIPS." Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), Ur. A. Verikas, Ur. D.P. Nikolaev, Ur. P. Radeva, Ur. J. Zhou, Society of Photo-Optical Instrumentation Engineers (SPIE), 2019, str. 501-508. https://urn.nsk.hr/urn:nbn:hr:195:714143

Pobar, Miran i Marina Ivašić Kos. "Detection of the leading player in handball scenes using Mask R-CNN and STIPS." U Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 501-508. Society of Photo-Optical Instrumentation Engineers (SPIE), 2019. Citirano 27.11.2024.. https://urn.nsk.hr/urn:nbn:hr:195:714143

Pobar, M. i Ivašić Kos, M. (2019) 'Detection of the leading player in handball scenes using Mask R-CNN and STIPS', u Verikas, A. (ur.), Nikolaev, D. (ur.), Radeva, P. (ur.), Zhou, J. (ur.), Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), Society of Photo-Optical Instrumentation Engineers (SPIE), str. 501-508. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:195:714143 (Datum pristupa: 27.11.2024.)

Pobar M, Ivašić Kos M. Detection of the leading player in handball scenes using Mask R-CNN and STIPS. U: A. Verikas, ur., D. Nikolaev, ur., P. Radeva, ur., J. Zhou, ur. Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018). Society of Photo-Optical Instrumentation Engineers (SPIE); 2019. Str. 501-508. [pristupljeno 27.11.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:714143

M. Pobar i M. Ivašić Kos, "Detection of the leading player in handball scenes using Mask R-CNN and STIPS", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), A. Verikas et al., Ur. Society of Photo-Optical Instrumentation Engineers (SPIE), 2019. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:195:714143 [Citirano: 27.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:195:714143
Podaci o radu
Naslov (engleski)Detection of the leading player in handball scenes using Mask R-CNN and STIPS
AutorMiran Pobar https://orcid.org/0000-0001-5604-2128
AutorMarina Ivašić-Kos https://orcid.org/0000-0002-1940-5089
UrednikA. Verikas
UrednikD.P. Nikolaev
UrednikP. Radeva
UrednikJ. Zhou
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)
In team sports scenes, recorded during training and lessons, it is common to have many players on the court, each with his own ball performing different actions. Our goal is to detect all players in the handball court and determine the leading player who performs the given handball technique such as a shooting at the goal, catching a ball or dribbling. This is a very challenging task for which, apart from an accurate object detector that is able to deal with cluttered scenes with many objects, partially occluded and with bad illumination, additional information is needed to determine the leading player. Therefore, we propose a leading player detector method combining the Mask R-CNN object detector and spatiotemporal interest points, referred to as MR-CNN+STIPs. The performance of the proposed leading player detector is evaluated on a custom sports video dataset acquired during handball training lessons. The performance of the detector in different conditions will be discussed.
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 zbornikaProc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018)
Brojčani podacivol. 11041, str. 501-508
ISBN978-151062748-2
DOIhttps://doi.org/10.1117/12.2522668
URN:NBNurn:nbn:hr:195:714143
Datum objave publikacije2019
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 Conference on Machine Vision, ICMV 2018
Kratica: ICMV 2018
Lokacija: Muenchen, Njemačka
Datum početka: 2018-11-01
Datum završetka: 2018-11-03
Vrsta izlaganja: Predavanje
URL dokumentahttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11041/110411V/Detection-of-the-leading-player-in-handball-scenes-using-Mask/10.1117/12.2522668.fullfull?SSO=1
Vrsta resursaTekst
IzdavačSociety of Photo-Optical Instrumentation Engineers (SPIE)
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Javna napomenaCopyright 2019 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Datum i vrijeme pohrane2023-02-12 20:02:57