Detection of the leading player in handball scenes using Mask R-CNN and STIPS

Pobar, Miran; Ivašić-Kos, Marina

doi:10.1117/12.2522668

Scientific paper - Original scientific paper

Detection of the leading player in handball scenes using Mask R-CNN and STIPS

In: Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018). / Verikas, A.; Nikolaev, D.P.; Radeva, P.; Zhou, J. (Ed.). Society of Photo-Optical Instrumentation Engineers (SPIE), 2019. pp. 501-508. https://doi.org/10.1117/12.2522668

Pobar, Miran; Ivašić-Kos, Marina

Cite this document

APA 6th Edition

Pobar, M. & Ivašić Kos, M. (2019). Detection of the leading player in handball scenes using Mask R-CNN and STIPS. In A. Verikas, (Ed.), D. Nikolaev, (Ed.), P. Radeva, (Ed.), J. Zhou, (Ed.), Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018) (pp. 501-508). Society of Photo-Optical Instrumentation Engineers (SPIE). doi: 10.1117/12.2522668

MLA 8th Edition

Pobar, Miran and 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), edited by A. Verikas, edited by D.P. Nikolaev, edited by P. Radeva, edited by J. Zhou, Society of Photo-Optical Instrumentation Engineers (SPIE), 2019, pp. 501-508. https://urn.nsk.hr/urn:nbn:hr:195:714143

Chicago 17th Edition

Pobar, Miran and Marina Ivašić Kos. "Detection of the leading player in handball scenes using Mask R-CNN and STIPS." In Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 501-508. Society of Photo-Optical Instrumentation Engineers (SPIE), 2019. Accessed 2025 February 15. https://urn.nsk.hr/urn:nbn:hr:195:714143

Harvard

Pobar, M. and Ivašić Kos, M. (2019) 'Detection of the leading player in handball scenes using Mask R-CNN and STIPS', in Verikas, A. (ed.), Nikolaev, D. (ed.), Radeva, P. (ed.), Zhou, J. (ed.), Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), Society of Photo-Optical Instrumentation Engineers (SPIE), pp. 501-508. Available at: https://urn.nsk.hr/urn:nbn:hr:195:714143 (Accessed 15 February 2025)

Vancouver

Pobar M, Ivašić Kos M. Detection of the leading player in handball scenes using Mask R-CNN and STIPS. In: A. Verikas, ed., D. Nikolaev, ed., P. Radeva, ed., J. Zhou, ed. Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018). Society of Photo-Optical Instrumentation Engineers (SPIE); 2019. Pp. 501-508. [cited 2025 February 15] Available at: https://urn.nsk.hr/urn:nbn:hr:195:714143

IEEE

M. Pobar and 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., Eds. Society of Photo-Optical Instrumentation Engineers (SPIE), 2019. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:195:714143 [Accessed: 15 February 2025]

Cite this item: https://urn.nsk.hr/urn:nbn:hr:195:714143

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Metadata

Title (english)	Detection of the leading player in handball scenes using Mask R-CNN and STIPS
Author	Miran Pobar https://orcid.org/0000-0001-5604-2128
Author	Marina Ivašić-Kos https://orcid.org/0000-0002-1940-5089
Editor	A. Verikas
Editor	D.P. Nikolaev
Editor	P. Radeva
Editor	J. Zhou
Author's institution	University of Rijeka (Faculty of Informatics and Digital Technologies)
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Information and Communication Sciences
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Artificial Intelligence
Abstract (english)	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.
Keywords (english)
Language	english
Publication type	Scientific paper - Original scientific paper
Publication status	Published
Peer review	Peer review - international
Publication version	Accepted version
Publication title	Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018)
Numbering	vol. 11041, pp. 501-508
ISBN	978-151062748-2
DOI	https://doi.org/10.1117/12.2522668
URN:NBN	urn:nbn:hr:195:714143
Publication	2019
Project	Number: IP-2016-06-8345 Title (croatian): Automatsko raspoznavanje akcija i aktivnosti u multimedijalnom sadržaju iz domene sporta Title (english): Automatic recognition of actions and activities in multimedia content from sports domain Acronym: RAASS Leader: Marina Ivašić Kos Jurisdiction: Croatia Funding stream: IP
Conference	Title: 11th International Conference on Machine Vision, ICMV 2018 Acronym: ICMV 2018 Location: Muenchen, Germany Start date: 2018-11-01 End date: 2018-11-03 Assembly type: Lecture
Document URL	https://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
Type of resource	Text
Publisher	Society of Photo-Optical Instrumentation Engineers (SPIE)
Access conditions	Open access
Terms of use
Public note	Copyright 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.
Created on	2023-02-12 20:02:57