Page 51 - 《上海体育大学学报》2024年第4期

2024 年 4 月 第 48 卷 第 4 期 专题探索

［30］ VANDERPLAETSE B， DUPONT S. Improved soccer and the Fourth Pacific Rim Conference on Multimedia.
action spotting using both audio and video streams[C/OL]// Proceedings of the 2003 Joint： Vol. 3. Singapore： IEEE，
Proceedings of the IEEE/CVF Conference on Computer 2003： 1811-1815 [2022-12-29]. http://ieeexplore.ieee.org/
Vision and Pattern Recognition Workshops. 2020：896-897 document/1292779/. DOI：10.1109/ICICS.2003.1292779
[2023-03-09]. https://openaccess.thecvf.com/content_ ［41］ KHAN A，LAZZERINI B，CALABRESE G，et al. Soccer
CVPRW_2020/html/w53/Vanderplaetse_Improved_Soccer_ event detection[C/OL]//Computer Science & Information
Action_Spotting_Using_Both_Audio_and_Video_Streams_ Technology. Academy & Industry Research Collaboration
CVPRW_2020_paper.html Center （AIRCC）， 2018： 119-129 [2022-12-30]. https://
［31］ GANESH Y， SRI TEJA A， MUNNANGI S K， et al. A airccj.org/CSCP/vol8/csit88509.pdf. DOI： 10.5121/csit.
novel framework for fine grained action recognition in 2018.80509
soccer[C/OL]//Advances in Computational Intelligence. ［42］ SARKAR S， MUKHERJEE D P， CHAKRABARTI A.
Springer， Cham， 2019： 137-150[2023-03-09]. https://link. From soccer video to ball possession statistics[J]. Pattern
springer.com/chapter/10.1007/978-3-030-20518-8_12. Recognition，2022，122：108338
DOI：10.1007/978-3-030-20518-8_12 ［43］ LAGO C. The influence of match location， quality of
［32］ REZAEI A， WU L C. Automated soccer head impact opposition， and match status on possession strategies in
exposure tracking using video and deep learning[J]. professional association football[J]. Journal of Sports
Scientific Reports，2022，12：9282 Sciences，2009，27（13）：1463-1469
［33］ OWOEYE O B A，VANDERWEY M J，PIKE I. Reducing ［44］ LINK D， HOERNIG M. Individual ball possession in
injuries in soccer （football）： An umbrella review of best soccer[J]. PLoS One，2017，12（7）：e0179953
evidence across the epidemiological framework for ［45］ SORANO D， CARRARA F， CINTIA P， et al. Automatic
prevention[J]. Sports Medicine - Open，2020，6（1）：46 pass annotation from soccer video streams based on object
［34］ CHEBBI S，CHAMARI K，VAN DYK N，et al. Hamstring detection and LSTM[M/OL]//DONG Y， IFRIM G，
injury prevention for elite soccer players： A real-world MLADENIĆ D， et al. Machine learning and knowledge
prevention program showing the effect of players' discovery in databases. Applied data science and demo
compliance on the outcome[J]. Journal of Strength and track：Vol. 12461. Cham：Springer International Publishing，
Conditioning Research，2022，36（5）：1383-1388 2021： 475-490[2022-12-31]. https://link.springer.com/10.
［35］ REMATAS K， KEMELMACHER-SHLIZERMAN I， 1007/978-3-030-67670-4_29. DOI： 10.1007/978-3-030-
CURLESS B， et al. Soccer on your tabletop[EB/OL]. 67670-4_29
[2023-03-11]. https://arxiv.org/abs/1806.00890.pdf ［46］ STOEVE M，SCHULDHAUS D，GAMP A，et al. From the
［36］ REDWOOD-BROWN A，CRANTON W，SUNDERLAND laboratory to the field：IMU-based shot and pass detection
C. Validation of a real-time video analysis system for in football training and game scenarios using deep
soccer[J]. International Journal of Sports Medicine，2012， learning[J]. Sensors，2021，21（9）：3071
33（8）：635-640 ［47］ PEÑA J L，TOUCHETTE H. A network theory analysis of
［37］ CASTELLANO J，ALVAREZ-PASTOR D，BRADLEY P football strategies[EB/OL].[2022-12-30]. https://arxiv.org/
S. Evaluation of research using computerised tracking abs/1206.6904.pdf
®
®
systems （Amisco and Prozone ） to analyse physical ［48］ DUCH J， WAITZMAN J S， AMARAL L A. Quantifying
performance in elite soccer：A systematic review[J]. Sports the performance of individual players in a team activity[J].
Medicine，2014，44（5）：701-712 PLoS One，2010，5（6）：e10937
［38］ 欧阳鹏. 足球比赛视频分析系统的功能研究[J]. 四川体 ［49］ 谢潇. 面向足球战术的可视分析[D]. 杭州：浙江大学，
育科学，2020，39（4）：70-74 2020：6-7
［39］ COLLET C. The possession game? A comparative analysis ［50］ LUCEY P， OLIVER D， CARR P， et al. Assessing team
of ball retention and team success in European and strategy using spatiotemporal data[C/OL]//Proceedings of
international football， 2007 –2010[J]. Journal of Sports the 19th ACM SIGKDD International Conference on
Sciences，2013，31（2）：123-136 Knowledge Discovery and Data Mining. Chicago Illinois
［40］ YU X G，LEONG H W，LIM J H，et al. Team possession USA：ACM，2013：1366-1374 [2023-01-03]. https://dl.acm.
analysis for broadcast soccer video based on ball org/doi/10.1145/2487575.2488191. DOI：10.1145/2487575.
trajectory[C/OL]//Fourth International Conference on 2488191
Information，Communications and Signal Processing，2003 ［51］ FERNANDEZ-NAVARRO J， FRADUA L， ZUBILLAGA
47