Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Marina Ivašić‐Kos"'
Autor:
Romeo Sajina, Marina Ivasic-Kos
Publikováno v:
IEEE Access, Vol 11, Pp 84822-84833 (2023)
In recent years, multi-person pose forecasting has gained significant attention due to its potential applications in various fields such as computer vision, robotics, sports analysis, and human-robot interaction. In this paper, we propose a novel dee
Externí odkaz:
https://doaj.org/article/e1216d610f70479c95c6efcf9ffb0106
Autor:
Miran Pobar, Marina Ivasic-Kos
Publikováno v:
Sensors, Vol 20, Iss 5, p 1475 (2020)
In team sports training scenes, 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 most active player who performs the given h
Externí odkaz:
https://doaj.org/article/221aa67bce2b4f3081a05c722b8cf505
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
In this paper, we present automatic, deep-learning methods for pipeline detection in underwater environments. Seafloor pipelines are critical infrastructure for oil and gas transport. The inspection of those pipelines is required to verify their inte
Externí odkaz:
https://doaj.org/article/aabe4a1662fa4380b97025841a5ae73a
Autor:
Kristina Host, Marina Ivašić-Kos
Publikováno v:
Heliyon, Vol 8, Iss 6, Pp e09633- (2022)
Human Action Recognition (HAR) is a challenging task used in sports such as volleyball, basketball, soccer, and tennis to detect players and recognize their actions and teams' activities during training, matches, warm-ups, or competitions. HAR aims t
Externí odkaz:
https://doaj.org/article/4bbec7b5180f4e6892beea02e2d38fa7
Autor:
Romeo Šajina, Marina Ivašić-Kos
Publikováno v:
Journal of Imaging, Vol 8, Iss 11, p 308 (2022)
Player pose estimation is particularly important for sports because it provides more accurate monitoring of athlete movements and performance, recognition of player actions, analysis of techniques, and evaluation of action execution accuracy. All of
Externí odkaz:
https://doaj.org/article/e8219b4086f0494e88bbaf799c9d2364
Publikováno v:
CloudCom
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 di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d11937ffa370517e0f358106d040d372
https://doi.org/10.1109/cloudcom.2019.00058
https://doi.org/10.1109/cloudcom.2019.00058
Autor:
Ingrid Hrga, Marina Ivašić-Kos
Publikováno v:
Intelligent Sustainable Systems ISBN: 9789811976599
Deep neural network-based systems are increasingly performing tasks that can significantly impact various aspects of human life, such as medical diagnosis or financial risk assessment. Therefore, it is important to understand their decision-making pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb4c1b5181b46d7fe8bb3c169c922501
https://doi.org/10.1007/978-981-19-7660-5_52
https://doi.org/10.1007/978-981-19-7660-5_52
Autor:
Marina Ivašić-Kos, Sasa Sambolek
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030821951
IntelliSys (2)
IntelliSys (2)
Deep neural networks achieve excellent results on various computer vision tasks, but learning models require large amounts of tagged images and often unavailable data. An alternative solution of using a large amount of data to achieve better results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37689c22ae37f23fdbd476008ec5e64d
https://www.bib.irb.hr/1164818
https://www.bib.irb.hr/1164818
Publikováno v:
Deep Learning Applications ISBN: 9781839623745
This chapter deals with the application of deep learning methods in sports scenes for the purpose of detecting and tracking the athletes and recognizing their activities. The scenes recorded during handball games and training activities will be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64ff5105400123c1ba317342b860d9e
http://www.intechopen.com/articles/show/title/application-of-deep-learning-methods-for-detection-and-tracking-of-players
http://www.intechopen.com/articles/show/title/application-of-deep-learning-methods-for-detection-and-tracking-of-players
Autor:
Sasa Sambolek, Marina Ivašić-Kos
Publikováno v:
IEEE Access, Vol 9, Pp 37905-37922 (2021)
Due to a growing number of people who carry out various adrenaline activities or adventure tourism and stay in the mountains and other inaccessible places, there is an increasing need to organize a search and rescue operation (SAR) to provide assista
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7015281586063c4f650069b27b8ae27
https://doi.org/10.1109/access.2021.3063681
https://doi.org/10.1109/access.2021.3063681