PT Unknown
AU Silvio Giancola
   Anthony Cioppa
   Adrien Deliege
   Floriane Magera
   Vladimir Somers
   Le Kang
   Xin Zhou
   Olivier Barnich
   Christophe De Vleeschouwer
   Alexandre Alahi
   Bernard Ghanem
   Marc Van Droogenbroeck
   Abdulrahman Darwish
   Adrien Maglo
   Albert Clapes
   Andreas Luyts
   Andrei Boiarov
   Artur Xarles
   Astrid Orcesi
   Avijit Shah
   Baoyu Fan
   Bharath Comandur
   Chen Chen
   Chen Zhang
   Chen Zhao
   Chengzhi Lin
   Cheuk-Yiu Chan
   Chun Chuen Hui
   Dengjie Li
   Fan Yang
   Fan Liang
   Fang Da
   Feng Yan
   Fufu Yu
   Guanshuo Wang
   H. Anthony Chan
   He Zhu
   Hongwei Kan
   Jiaming Chu
   Jianming Hu
   Jianyang Gu
   Jin Chen
   Joao V. B. Soares
   Jonas Theiner
   Jorge De Corte
   Jose Henrique Brito
   Jun Zhang
   Junjie Li
   Junwei Liang
   Leqi Shen
   Lin Ma
   Lingchi Chen
   Miguel Santos Marques
   Mike Azatov
   Nikita Kasatkin
   Ning Wang
   Qiong Jia
   Quoc Cuong Pham
   Ralph Ewerth
   Ran Song
   Rengang Li
   Rikke Gade
   Ruben Debien
   Runze Zhang
   Sangrok Lee
   Sergio Escalera
   Shan Jiang
   Shigeyuki Odashima
   Shimin Chen
   Shoichi Masui
   Shouhong Ding
   Sin-wai Chan
   Siyu Chen
   Tallal El-Shabrawy
   Tao He
   Thomas B. Moeslund
   Wan-Chi Siu
   Wei Zhang
   Wei Li
   Xiangwei Wang
   Xiao Tan
   Xiaochuan Li
   Xiaolin Wei
   Xiaoqing Ye
   Xing Liu
   Xinying Wang
   Yandong Guo
   Yaqian Zhao
   Yi Yu
   Yingying Li
   Yue He
   Yujie Zhong
   Zhenhua Guo
   Zhiheng Li
TI SoccerNet 2022 Challenges Results
BT 5th International ACM Workshop on Multimedia Content Analysis in Sports
PY 2022
BP 75
EP 86
DI 10.1145/3552437.3558545
AB The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on this https URL. Baselines and development kits are available on this https URL.
ER