Computer vision in sports

著者

    • Moeslund, Thomas B.
    • Thomas, Graham
    • Hilton, Adrian

書誌事項

Computer vision in sports

Thomas B. Moeslund, Graham Thomas, Adrian Hilton, editors

（Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors）

Springer, c2014

大学図書館所蔵 件 / 全5件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

Introduction to the Use of Computer Vision in Sports Graham Thomas, Thomas B. Moeslund and Adrian Hilton Part I: Where is the Ball? Ball Tracking for Tennis Video Annotation Fei Yan, William Christmas and Josef Kittler Plane Approximation-Based Approach for 3D Reconstruction of Ball Trajectory for Performance Analysis in Table Tennis Sho Tamaki and Hideo Saito On-Field Testing and Evaluation of a Goal-Line Technology System Paolo Spagnolo, Pier Luigi Mazzeo, Marco Leo, Massimiliano Nitti, Ettore Stella and Arcangelo Distante Part II: Where Are the Players? Occlusion Detection via Structured Sparse Learning for Robust Object Tracking Tianzhu Zhang, Bernard Ghanem, Changsheng Xu and Narendra Ahuja Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models Jingchen Liu and Peter Carr Geometry Reconstruction of Players for Novel-View Synthesis of Sports Broadcasts Tiberiu Popa, Marcel Germann, Remo Ziegler, Richard Keiser and Markus Gross Estimating Athlete Pose from Monocular TV Sports Footage Mykyta Fastovets, Jean-Yves Guillemaut and Adrian Hilton Part III: What Are They Playing? Action Recognition in Realistic Sports Videos Khurram Soomro and Amir Roshan Zamir Classification of Sports Types Using Thermal Imagery Rikke Gade and Thomas B. Moeslund Event-Based Sports Videos Classification Using HMM Framework Shyju Wilson, C. Krishna Mohan and K. Srirama Murthy Part IV: What's Going On? Representing Team Behaviours from Noisy Data Using Player Role Alina Bialkowski, Patrick Lucey, Peter Carr, Sridha Sridharan and Iain Matthews Recognizing Team Formation in American Football Indriyati Atmosukarto, Bernard Ghanem, Mohamed Saadalla and Narendra Ahuja Real-Time Event Detection in Field Sport Videos Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka and Noel E. O'Connor

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