prikaz prve stranice dokumenta Player Tracking in Sports Videos
  Download
PDF 596.69 KB
Scientific paper - Original scientific paper
Player Tracking in Sports Videos
In: 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2020. pp. 334-340. https://doi.org/10.1109/CloudCom.2019.00058
Burić, Matija; Ivašić-Kos, Marina; Pobar, Miran

Cite this document

Burić, M., Ivašić Kos, M. & Pobar, M. (2020). Player Tracking in Sports Videos. 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) (pp. 334-340). IEEE. doi: 10.1109/CloudCom.2019.00058

Burić, Matija, et al. "Player Tracking in Sports Videos." 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), IEEE, 2020, pp. 334-340. https://urn.nsk.hr/urn:nbn:hr:195:183966

Burić, Matija, Marina Ivašić Kos and Miran Pobar. "Player Tracking in Sports Videos." In 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 334-340. IEEE, 2020. Accessed 2024 November 19. https://urn.nsk.hr/urn:nbn:hr:195:183966

Burić, M., Ivašić Kos, M. and Pobar, M. (2020) 'Player Tracking in Sports Videos', 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), IEEE, pp. 334-340. Available at: https://urn.nsk.hr/urn:nbn:hr:195:183966 (Accessed 19 November 2024)

Burić M, Ivašić Kos M, Pobar M. Player Tracking in Sports Videos. 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE; 2020. Pp. 334-340. [cited 2024 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:195:183966

M. Burić, M. Ivašić Kos and M. Pobar, "Player Tracking in Sports Videos", 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) IEEE, 2020. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:195:183966 [Accessed: 19 November 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Player Tracking in Sports Videos
AuthorMatija Burić https://orcid.org/0000-0003-3528-7550
AuthorMarina Ivašić-Kos https://orcid.org/0000-0002-1940-5089
AuthorMiran Pobar https://orcid.org/0000-0001-5604-2128
Author's institutionUniversity 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)
This paper considers the problem of tracking the players in handball videos using a single video source. Tracking of handball players in the video is a difficult task as they can frequently leave and re-enter the camera field of view, often change directions quickly and occlude each other. Players wear similar team uniforms, play indoor under artificial illumination, with the background than can vary significantly as the handball court is often painted in various colors. The continually improving accuracy of CNN-based object detectors makes tracking-by-detection methods an attractive choice for tracking players in sports videos as they can perform online and with low computational requirements on top of object detection. Here we consider the use of three tracking-by-detection methods in conjunction with the YOLO object detector, namely the standard Hungarian assignment algorithm, the Simple Online, and Real-time Tracking (SORT) algorithm that adds a motion model, and its extension Deep SORT. The methods are tested on a custom dataset of handball video scenes.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionAccepted version
Publication title2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Numberingpp. 334-340
ISBN978-1-7281-5011-6
e-ISSN2330-2186
DOIhttps://doi.org/10.1109/CloudCom.2019.00058
URN:NBNurn:nbn:hr:195:183966
Online first2020-01-28
ConferenceTitle: 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Acronym: CloudCom
Location: Sydney, Australia
Start date: 2019-12-11
End date: 2019-12-13
Assembly type: Lecture
Document URLhttps://ieeexplore.ieee.org/abstract/document/8968839
Type of resourceText
PublisherIEEE
Access conditionsOpen access
Terms of useLicence In copyright icon
Public note© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Created on2023-02-02 12:44:24