Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Longteng Kong"'
Publikováno v:
Sensors, Vol 21, Iss 1, p 197 (2020)
This paper addresses the Multi-Athlete Tracking (MAT) problem, which plays a crucial role in sports video analysis. There exist specific challenges in MAT, e.g., athletes share a high similarity in appearance and frequently occlude with each other, m
Externí odkaz:
https://doaj.org/article/ebbcaddc4de64029b4117dc28f1a9867
Publikováno v:
IEEE Transactions on Multimedia. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0db66695ff9b82ba2dafbfc0eccd3dd
https://doi.org/10.1109/tmm.2023.3265280
https://doi.org/10.1109/tmm.2023.3265280
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:6086-6099
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608ce4b3bda0c30339452f4df78f2ed2
https://doi.org/10.1109/tcsvt.2022.3156634
https://doi.org/10.1109/tcsvt.2022.3156634
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:532-548
Sports video analysis has received increasing attention in recent years. Athlete tracking and action recognition are its two major issues that are highly related to each other; however, they are individually considered and processed in the existing s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2ff5fc943e996f2d5ce256d98b2e2dd
https://doi.org/10.1109/tcsvt.2019.2893318
https://doi.org/10.1109/tcsvt.2019.2893318
Publikováno v:
IEEE Transactions on Image Processing. 29:7957-7969
Tracking multiple athletes in sports videos is a very challenging Multi-Object Tracking (MOT) task, as athletes generally share high similarity in appearance with large deformations. In this paper, unlike the existing hand-crafted solutions, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c86e62e53aa2444da941aee9dc0d360f
https://doi.org/10.1109/tip.2020.3009034
https://doi.org/10.1109/tip.2020.3009034
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783031189128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::893fb7bdde3fa368aaf08ef29cdb63f3
https://doi.org/10.1007/978-3-031-18913-5_16
https://doi.org/10.1007/978-3-031-18913-5_16
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783031189128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10597bbd988f64bd13215ea57607a97d
https://doi.org/10.1007/978-3-031-18913-5_18
https://doi.org/10.1007/978-3-031-18913-5_18
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd37418c9e20c2729aca4532e6fb39db
https://doi.org/10.2139/ssrn.4292756
https://doi.org/10.2139/ssrn.4292756
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973a9d011980888351fe1a1e1d8c80d2
https://doi.org/10.1109/tcsvt.2023.3278984
https://doi.org/10.1109/tcsvt.2023.3278984
Publikováno v:
Sensors, Vol 21, Iss 197, p 197 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
This paper addresses the Multi-Athlete Tracking (MAT) problem, which plays a crucial role in sports video analysis. There exist specific challenges in MAT, e.g., athletes share a high similarity in appearance and frequently occlude with each other, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f560b0e60a2d34001d2e4dde87bbc57a
https://www.mdpi.com/1424-8220/21/1/197
https://www.mdpi.com/1424-8220/21/1/197