Download or read book Event Detection in Soccer Using Spatio temporal Data written by Jens Christian Christensen Jensen and published by . This book was released on 2015 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Analytics in Professional Soccer written by Daniel Link and published by Springer. This book was released on 2018-02-16 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics.
Download or read book Soccer Video Event Detection Via Collaborative Textual Aural and Visual Analysis written by Alfian Abdul Halin and published by . This book was released on 2011 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Machine Learning Technique to Discover Useful Knowledge from Event Data in Soccer written by Matthew George Soeryadjaya Kerr and published by . This book was released on 2015 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soccer is the world's most popular sport but published research in soccer analytics has yet to attain the same level of sophistication as analytics in other professional sports. We hope to discover new knowledge from a soccer ball-event dataset by applying different machine learning techniques. In this thesis we present three experiments that address three interesting questions in soccer that involve game prediction and team style. We approach each question by constructing features using the ball-event data, where an event is a pass, shot, etc., and applying machine learning algorithms. In the first experiment, we construct three models that use different features to predict which team won a given game, without any knowledge of goals. We achieve a top accuracy rate of 0.84 using an L2-regularized logistic regression classifier. We also investigate the feature weights to learn relationships between game events and a team's chances of success. In the second experiment we try several classifiers to predict which team produced the sequence of ball-events that occurred during a game. Despite the relatively small number of events per game, we achieved an accuracy rate of 0.345 for a 20-team classification task when using a RBF SVM. By learning which sequences are characteristic of teams we are potentially able to discover if successful teams have a common style. We also learn the efficacy of transforming ball-events into predefined symbols. Finally, in the third experiment, we predict which team attempted a given set of passes. We first construct 2D histograms of the locations of the origins of the passes. We then use the histograms as features in a 20-team classification task and discover that teams have characteristic passing styles, by achieving an accuracy rate of 0.735 using a learned K-NN classifier. The results demonstrate that approaching soccer analytics with a machine learning framework is effective. In addition to achieving good classification performance, we are able to discover useful, potentially actionable, knowledge by investigating the models and features that we construct.
Download or read book Spatio temporal Volume based Video Event Detection written by Jing Wang and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Online and offline video clips provide rich information on dynamic events that occurred over a period of time, for example, human actions, crowd behaviours, and other subject pattern changes. Although substantial progresses have been made in the last 3 decades on 2D image feature processing and their applications in areas such as face matching and objects recognition, video event detection still remains one of the most challenging fields in computer vision study due to the wide range of continuous and non-linear signals engaged by an imaging system, and the inherent semantic difficulties in machine-based understanding of the detected feature patterns. For bridging the gap between the pixel-level image features and the semantic "meanings" of a videoed single human event, this research has investigated the problem domain through employing the 3D Spatio-Temporal Volume (STV) structure and its global feature paradigm for event pattern recognition. The process pipeline follows an improved Pair-wise Region Comparison (I-PWRC) and a region intersection (RI) based 3D template matching approach for detecting and identifying human actions under uncontrolled real-world videoing conditions. To maintain the run-time performance of this innovative system design, this programme has also developed an efficient pre-filtering mechanism to reduce the amount of voxels (volumetric pixels) that need to be processed in each operational cycle. For further improving the system's adaptability and robustness, several optimisation techniques, such as scale-invariant template matching and event location prediction mechanisms, have also been developed and implemented. The proposed design has been tested on various renowned online computer vision research databases and been benchmarked against other classic implementation strategies and systems. Satisfactory evaluation results have been obtained through statistical analyses on standard test criteria such as "Recall" rate and the processing efficiency.
Download or read book Computer Vision in Sports written by Thomas B. Moeslund and published by Springer. This book was released on 2015-01-19 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production.
Download or read book Spatio temporal Hierarchical Event Detection in Microblogs written by Chun-Shuo Lin and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Analytics of Spatial Events written by Daniel Seebacher and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Frameless Spatial temporal Event Detection Via Delay templates written by and published by . This book was released on 2013 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Near Real Time Event Detection Prediction Using Intelligent Software Agents written by and published by . This book was released on 2006 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report results from a contract tasking University of Surrey as follows: The Surrey Space Center primary developer of the Disaster Monitoring Constellation (DMC) a network of satellites that provides users global natural and man-made event monitoring, seeks to monitor space and/or terrestrial source data streams for identifying interest-event occurrences. For the purposes of this research an event is defined as a significant interest item that occurs at a particular time and location, such as an individual volcano eruption, a flood or a forest fire. During- and postevent detection can often be achieved through one of several change detection algorithms, however pre-event detection introduces an entirely different challenge. Successful pre-event detection involves comparing temporal data against unique impending event data patterns. More concisely, successful pre-event detection involves combining time series analysis with robust event pattern recognition. While domain-specific methodologies have garnered varying success levels a general approach for this complex task has yet to be found and therefore motivates this research effort. Significant progress across the range of research goals and objectives has been achieved. Preliminary analysis results using one and two channelled data suggest the method is capable of identifying complex event-related data patterns and perhaps even predicting significant events. These results strengthen our conviction the method warrants further research and investigation.
Download or read book MultiMedia Modeling written by Ioannis Kompatsiaris and published by Springer. This book was released on 2018-12-20 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11295 and 11296 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2019, held in Thessaloniki, Greece, in January 2019. Of the 172 submitted full papers, 49 were selected for oral presentation and 47 for poster presentation; in addition, 6 demonstration papers, 5 industry papers, 6 workshop papers, and 6 papers for the Video Browser Showdown 2019 were accepted. All papers presented were carefully reviewed and selected from 204 submissions.
Download or read book Machine Learning and Knowledge Discovery in Databases Applied Data Science and Demo Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-02-24 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Download or read book The Numbers Game written by Chris Anderson and published by Penguin. This book was released on 2013-07-30 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Moneyball meets Freakonomics in this myth-busting guide to understanding—and winning—the most popular sport on the planet. Innovation is coming to soccer, and at the center of it all are the numbers—a way of thinking about the game that ignores the obvious in favor of how things actually are. In The Numbers Game, Chris Anderson, a former professional goalkeeper turned soccer statistics guru, teams up with behavioral analyst David Sally to uncover the numbers that really matter when it comes to predicting a winner. Investigating basic but profound questions—How valuable are corners? Which goal matters most? Is possession really nine-tenths of the law? How should a player’s value be judged?—they deliver an incisive, revolutionary new way of watching and understanding soccer.
Download or read book Image Analysis and Recognition written by Aurélio Campilho and published by Springer. This book was released on 2020-06-19 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management. Due to the corona pandemic, ICIAR 2020 was held virtually only.
Download or read book Image Analysis and Recognition written by Aurélio Campilho and published by Springer Nature. This book was released on 2020-06-18 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management. Due to the corona pandemic, ICIAR 2020 was held virtually only.
Download or read book Sports Analytics written by Ambikesh Jayal and published by Routledge. This book was released on 2018-06-12 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.
Download or read book Game Analytics written by Magy Seif El-Nasr and published by Springer Science & Business Media. This book was released on 2013-03-30 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels. Game Analytics - Maximizing the Value of Player Data is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. Written by over 50 international experts from industry and research, it covers a comprehensive range of topics across more than 30 chapters, providing an in-depth discussion of game analytics and its practical applications. Topics covered include monetization strategies, design of telemetry systems, analytics for iterative production, game data mining and big data in game development, spatial analytics, visualization and reporting of analysis, player behavior analysis, quantitative user testing and game user research. This state-of-the-art volume is an essential source of reference for game developers and researchers. Key takeaways include: Thorough introduction to game analytics; covering analytics applied to data on players, processes and performance throughout the game lifecycle. In-depth coverage and advice on setting up analytics systems and developing good practices for integrating analytics in game-development and -management. Contributions by leading researchers and experienced professionals from the industry, including Ubisoft, Sony, EA, Bioware, Square Enix, THQ, Volition, and PlayableGames. Interviews with experienced industry professionals on how they use analytics to create hit games.
