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Relevant bibliographies by topics / Football image

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Academic literature on the topic 'Football image'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Football image"

1

Xu, Liyun, and Zhubo Xu. "Application of Image Processing Technology in the Diagnosis of Football Injury." Applied Bionics and Biomechanics 2022 (August 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/5926098.

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With the hot development of football, sports injuries caused by football have also received special attention. In football games, although there are medical staff on and off the field always on call to protect the safety of players, because of the complexity of diagnosis work, medical staff can easily lead to diagnostic errors due to factors such as fatigue, which seriously affects the condition of athletes. Image processing is a technology that uses computer to process images, which can greatly overcome the uncertain factors brought by manual diagnosis. Based on this, this paper uses image pr

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Wang, Hui, Meng Wang, and Peng Zhao. "Sports Video Augmented Reality Real-Time Image Analysis of Mobile Devices." Mathematical Problems in Engineering 2021 (June 8, 2021): 1–13. http://dx.doi.org/10.1155/2021/9963524.

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Sports video is loved by the audience because of its unique charm, so it has high research value and application value to analyze and study the video data of competition. Based on the background of football match, this paper studies the football detection and tracking algorithm in football game video and analyzes the real-time image of real-time mobile devices in sports video augmented reality. Firstly, the image is preprocessed by image graying, image denoising, image binarization, and so on. Secondly, Hough transform is used to locate and detect football, and according to the characteristics

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Zhu, Shan Hong, and Wei Peng Dong. "Football Extraction Method Based on Image Segmentation Algorithm." Advanced Materials Research 926-930 (May 2014): 3430–33. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3430.

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This paper proposes a football object extraction method based on image segmentation algorithm in football video. The football segmentation Interactive operation method with the advantages of high accuracy segmentation, can be applied to other ball games Object (such as volleyball, soccer) segmentation and extraction. In the next step of the study, in a Step to improve the extraction method of the football video frames in image segmentation accuracy ,Application of football and the extracted from football video segment retrieval system for target tracking, to provide an effective method for bas

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Lopukhova, Olga G. "“I Am a Football Player and/or a Girl”: Psychosemantics of Self-Consciousness among Teenage Female Football Players." Psychology in Russia: State of the Art 17, no. 3 (2024): 36–49. http://dx.doi.org/10.11621/pir.2024.0303.

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Background. Women’s football (soccer), despite official recognition and growing popularity, is perceived as a gender-non-typical sport. This contradiction can be implicitly transmitted by society and acts as a condition of conflict in the self-consciousness of teenage female football players (TFFPs). In this study, the model of self-consciousness is defined as the semantic structures generated in the dialogic interaction “person – sociocultural environment”. Objective. Various options, including internally conflicting ones, for the content of self-consciousness in the context of both gender (g

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Xie, Zhong Ping. "Simulation Analysis on Dynamics Clustering Algorithm Based on 3D Imaging Technology." Applied Mechanics and Materials 556-562 (May 2014): 4994–97. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4994.

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In this paper, we use 3D imaging technique to conduct in-depth research in the football training, and obtain the 3D space image of the best football team. We use FPGA hardware platform to design the control program of 3D image, and judge the performance of synthetic parameters, and test process curve and schematic diagram of 3D imaging. Combined with Kmeans algorithm we design the clustering algorithm mathematical model of 3D image, and give the control programming. Finally, based on the 3D synthesis image and optimization of display technology, using the image acquisition and skill of physica

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VERRIET, JON. "Football clubs, city images and cultural differentiation: identifying with rivalling Vitesse Arnhem and NEC Nijmegen." Urban History 46, no. 2 (2018): 266–87. http://dx.doi.org/10.1017/s0963926818000354.

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ABSTRACT:How are deep relationships between city and club identification formed, and are they inevitable? The aim of this article is to provide a historical analysis of the rivalry between two football clubs, Vitesse Arnhem and NEC Nijmegen, explicating their various ‘axes of enmity’. Supporters, club officials and observers of these two clubs created and selectively maintained similarities between respective city image and club image. The process of ‘othering’ influenced both city and club images and helped create oppositional identities. Herein, football identification reflects broader socie

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Fischer, Christina, and Rüdiger Hamm. "Football clubs and regional image." Review of Regional Research 39, no. 1 (2019): 1–23. http://dx.doi.org/10.1007/s10037-018-00129-5.

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Sun, Yang, and Changjun Hu. "Design and Implementation of Football Player Training Management System Based on Intelligent Image." Applied Bionics and Biomechanics 2022 (January 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/6091557.

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This article is aimed at studying the design and implementation of a football player training management system based on smart images. Based on the analysis of the importance of informatization for scientific football training, system performance requirements and intelligent image detection technology, the football player training management is designed. The overall architecture of the system, and the detailed design of each functional module of the system. It mainly includes football player information management module, football player training plan viewing module, training goal formulation

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Pei Diao, Et al. "Exploring the Dynamics of Football Tourism in Chengdu city, China: A Structural Equation Modeling Approach to Understanding Tourists’ Intention." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 1886–909. http://dx.doi.org/10.17762/ijritcc.v11i10.8780.

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The burgeoning field of football tourism represents a significant intersection of sports enthusiasm and travel, yet its dynamics, particularly in emerging markets like Chengdu, China, remain underexplored. The research aimed to elucidate how various factors, including motivation for football tourism, online word of mouth, subjective norms, destination image, and attitudes, influence the intention to engage in football tourism in Chengdu. With an emphasis on a quantitative survey to gather empirical data. The survey reached fans of various football clubs who had experience with football tourism

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Sypetkowski, Michał, Grzegorz Sarwas, and Tomasz Trzciński. "Synthetic Image Translation for Football Players Pose Estimation." JUCS - Journal of Universal Computer Science 25, no. (6) (2019): 683–700. https://doi.org/10.3217/jucs-025-06-0683.

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In this paper, we present an approach for football players pose estimation on very low-resolution images. The camera recording the football match is far away from the pitch in order to register at least half of it. As a result, even using very high resolution cameras, the image area presenting every single player is very small. Additionally, variable weather conditions or shadows and reflections, make this aim very hard. Such images are very hard to annotate by human. In our research we assume lack of manually annotated training data from our target distribution. Instead of manual annotation o

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Dissertations / Theses on the topic "Football image"

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Moon, Brandon B. "Interactive football summarization /." Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3337.pdf.

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Wikström, Vilmer. "The Effect of Brand Image on Football Fan Loyalty : The Swedish Football Context." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105190.

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Within the field of football fan loyalty there has been a desire to examine brand image’s effect on fan loyalty within different contexts. Given this, the aim of this study is to explain how brand image affects fan loyalty in a swedish football context. The study follows a quantitative approach where data was collected through a questionnaire distributed online, and then tested in a confirmatory factor analysis. The findings of the study revealed that brand image affects fan loyalty through the facets of brand image, non-product related attributes and brand benefits. Where non-product related

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Amado, Carlos J. "The ugly side of the beautiful game - hooliganism in French football /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2650.pdf.

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Maclean, Malcolm. "Confronting foundational myths : apartheid, rugby and the post-colonising of Aotearoa/New Zealand /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18314.pdf.

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Borg, Johan. "Detecting and Tracking Players in Football Using Stereo Vision." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8327.

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<p>The objective of this thesis is to investigate if it is possible to use stereo vision to find and track the players and the ball during a football game.</p><p>The thesis shows that it is possible to detect all players that isn’t too occluded by another player. Situations when a player is occluded by another player is solved by tracking the players from frame to frame.</p><p>The ball is also detected in most frames by looking for ball-like features. As with the players the ball is tracked from frame to frame so that when the ball is occluded, the positions is estimated by the tracker.</p>

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Alba, Micah Adam. "Comparison of two training programs on acceleration out of the break in American football /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2759.pdf.

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Павленко, Анастасія Володимирівна, Анастасия Владимировна Павленко, Anastasiia Volodymyrivna Pavlenko, Тетяна Василівна Кузнєцова, Татьяна Васильевна Кузнецова та Tetiana Vasylivna Kuznietsova. "Структурна модель футбольного іміджу". Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/15355.

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Ömer, Güncel. "Förändring av ett fotbollslags image och varumärke - Helsingborgs IF (HIF)." Thesis, Malmö universitet, Fakulteten för lärande och samhälle (LS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-28680.

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SammanfattningDetta examensarbete är en fallstudie om Helsingborgs Idrottsförening (HIF). Klubben har haft turbulenta år med tuff ekonomi, dalande publiksiffror, flera personer i ledningen som lämnat sina uppdrag och med dåliga sportsliga resultat. 2016 åkte klubben ur Allsvenskan och var ett ytterligare bakslag för klubbens varumärke och står inför en tuff utmaning som förening med en mindre budget och verksamhet samt ett varumärke som tagit stor skada de senaste åren. I denna undersökningen finns det sex intressenter där fotbollsklubben HIF är huvudintressenten. Övriga intressenter är en off

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Blumrodt, Jens. "La marque sportive spécifique et son impact sur le comportement du consommateur : l’exemple du Stade Rennais Football Club et du Football Club de Lorient." Rennes 2, 2010. http://www.theses.fr/2010REN20061.

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Les entreprises reconnues comme marques augmentent la valeur de leur capital-marque par rapport à d’autres entreprises. L’image de marque est un des éléments constituants du capital-marque. Elle se fonde sur des composantes tangibles et intangibles présentes dans l’esprit des consommateurs. Dans nos sociétés postmodernes, les goûts, les aspirations et les comportements des consommateurs changent et les marques adaptent leurs produits par rapport aux attentes de leurs clients et prospects. L’image de marque influence le comportement d’achat et des instruments de mesure existent pour évaluer la

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Berry, Jason. "Expert perceptual and decision-making skill: identification, development and acquisition in a team invasion spoet / Jason Berry." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18394.pdf.

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Books on the topic "Football image"

1

Elligott, Chris. The image of the British football manager. LCP, 1986.

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Morrow, Stephen. The business of football: Image management in narrative communication. Institute of Chartered Accountants of Scotland, 2005.

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Andre, Bella. Game for anything / by Bella Andre. Pocket Books, 2008.

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O'Keeffe, Donall. The perceptions of the FAI, GAA, IRFU, and their respective games among Dublin males. University College Dublin, 1991.

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Breen, Peter. Rhapsody in blue: Images of Leinster's epic 2010-11 European campaign by the Sportsfile photographers with words by Peter Breen. Sportsfile, 2011.

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Humphries, Tom. A season of Sundays: Images of the 2009 Gaelic games year. Sportsfile, 2009.

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Humphries, Tom. A season of Sundays 2004: Images of the 2004 Gaelic Games year. Sportsfile, 2004.

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Oates, Thomas P. The End of Football? University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040948.003.0007.

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The concluding chapter examines narratives that threaten to disrupt both professional football’s immense profits and the ideological formation that has been advanced through its image. This challenge to dominant meanings, which has become increasingly pronounced in recent years, is a reassessment of football’s violence in the wake of revelations of devastating brain injuries among former players and of acts of sexual violence by NFL players.

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Pesnell, Hugo. Cat and Mouse Game : Romance Story Between Football Players and TV Advisor: Clean up Bad-Boy Image or Lose the Contract. Independently Published, 2021.

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Designs, Shae-Athena. Guitar Tab Book: American Football Image, 6 X 9 , 116 Pages, Lovely Mindful Gift for Boys, Men, Practice, Musicians, Songwriters, Guitarists, Students. Independently Published, 2020.

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Book chapters on the topic "Football image"

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Sypetkowski, Michał, Grzegorz Kurzejamski, and Grzegorz Sarwas. "Football Players Pose Estimation." In Image Processing and Communications Challenges 10. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03658-4_8.

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Domingues, José, Bernardo Lopes, Petya Mihaylova, and Petia Georgieva. "Incremental Learning for Football Match Outcomes Prediction." In Pattern Recognition and Image Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31321-0_19.

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Manoli, Argyro Elisavet, Ioannis Konstantopoulos, and Georgios A. Antonopoulos. "Image Laundering, Sport Washing and Greenwashing in and Through Football." In The Geopolitical Economy of Football. Routledge, 2024. http://dx.doi.org/10.4324/9781003473671-6.

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Yang, Wenhui. "The Image Schemas in Football Player Transfer News (FPTN)." In A Cross-Cultural Study of Commercial Media Discourses. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8617-0_5.

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Szenberg, Flávio, Paulo Cezar Pinto Carvalho, and Marcelo Gattass. "Automatic Camera Calibration for Image Sequences of a Football Match." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44732-6_31.

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Seetharaman, R., Andrew Juan Priyan Prince, and S. Saiprashanth. "Tracking and Analysis of Football Match using Image Processing Techniques." In Advances in Mechanical and Industrial Engineering. CRC Press, 2022. http://dx.doi.org/10.1201/9781003216742-29.

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Honda, Masaaki, and Noriyuki Oosaka. "Automatic Tracking of Player Locations from Video Image of Football Game." In Sports Performance. Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55315-1_28.

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Frejlichowski, Dariusz. "A Method for Data Extraction from Video Sequences for Automatic Identification of Football Players Based on Their Numbers." In Image Analysis and Processing – ICIAP 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24085-0_37.

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Chari, Tendai. "Unmaking the Dark Continent: South Africa, Africa and the Image Make-Over Narrative in the South African Press." In African Football, Identity Politics and Global Media Narratives. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137392237_10.

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Wambach, Julia. "Feeling Political Through a Football Club: FC Schalke 04, 1904–2020." In Feeling Political. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89858-8_9.

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AbstractThis chapter examines mourning practices on the basis of the German football club FC Schalke 04. This club, it argues, derives its current image and emotional templates from the mourning practices marking the end of coal mining in the region. Throughout the twentieth century, Schalke repeatedly became involved in participatory politics, despite its allegedly apolitical nature as a leisure club. Governments, political parties, and local magistrates sought to use Schalke fans’ emotional relationship with the club for their own ends. Because of its capacity to unite people in times of cri

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Conference papers on the topic "Football image"

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Williams, John C. "Coating of Structural Steel for Public Structures." In Paint and Coatings Expo (PACE) 2005. SSPC, 2005. https://doi.org/10.5006/s2005-00059.

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Abstract The primary structure of many outdoor baseball parks and football stadiums is exposed structural steel. These facilities are often located in major cities in areas that may present challenges in control of corrosion. The challenge is also manifested in the fact that the structural steel frame becomes an architectural feature which must be maintained as an aesthetic element. The high profile nature of these facilities obligates the facility owners to maintain a clean and bright environment for the thousands of fans and urban visitors that view the facilities. Unsightly connections and

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Li, Ruonan, and Rama Chellappa. "Recognizing offensive strategies from football videos." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5652192.

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Pu, Chunwang. "Football Automatic Detection Scheme in Moving Video Image." In 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2016. http://dx.doi.org/10.1109/icitbs.2016.91.

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Hirasawa, Yukito, Yuichiro Kinoshita, Latifah Munirah Kamarudin, and Ammar Zakaria. "Classification of Football Player Actions Using Sensing Data." In 2024 International Conference on Image Processing and Robotics (ICIPRoB). IEEE, 2024. http://dx.doi.org/10.1109/iciprob62548.2024.10544276.

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Zhang, Yixiao, Baihua Li, Hui Fang, and Qinggang Meng. "A Multi-Modal Transformer Approach for Football Event Classification." In 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023. http://dx.doi.org/10.1109/icip49359.2023.10223172.

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Wu, Yutian, Wuqi Zhao, Chen Huang, Yaming Xi, Qing Li, and Heng Wang. "Deep Learning for Semantic Segmentation of Football Match Image." In 2023 2nd International Conference on Innovations and Development of Information Technologies and Robotics (IDITR). IEEE, 2023. http://dx.doi.org/10.1109/iditr57726.2023.10145987.

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Hanzra, Bikramjot Singh, and Romain Rossi. "Automatic cameraman for dynamic video acquisition of football match." In 2013 IEEE Second International Conference on Image Information Processing (ICIIP). IEEE, 2013. http://dx.doi.org/10.1109/iciip.2013.6707571.

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Kataoka, Hirokatsu, and Yoshimitsu Aoki. "Football players and ball trajectories projection from single camera's image." In 2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2011). IEEE, 2011. http://dx.doi.org/10.1109/fcv.2011.5739712.

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Ohki, Hidehiro, Seiki Inoue, Yoneharu Fujita, and Naomichi Sueda. "Digital scorebook: football logging and visualization using image processing support." In International Symposium on Optomechatronic Technologies, edited by Jonathan Kofman, Yuri Lopez de Meneses, Shun'ichi Kaneko, Claudio A. Perez, and Didier Coquin. SPIE, 2007. http://dx.doi.org/10.1117/12.754570.

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li, xue, and Shaobin Li. "DTB Net: A text detector in a football match scene." In 2018 International Conference on Image, Video Processing and Artificial Intelligence, edited by Ruidan Su. SPIE, 2018. http://dx.doi.org/10.1117/12.2513848.

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