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Computer Vision in Sports

  • Book
  • © 2014

Overview

Editors:
  1. Thomas B. Moeslund

    1. Aalborg University, Aalborg, Denmark

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    You can also search for this editor in PubMed   Google Scholar

  2. Graham Thomas

    1. BBC R&D, London, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  3. Adrian Hilton

    1. University of Surrey, Guildford, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  • The first book of its kind devoted to the emerging field of computer vision in sports
  • The definitive reference on this topic, covering ball tracking, player tracking and pose estimation, and the detection of types of specific events and sports
  • Presents insights from an international selection of experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction to the Use of Computer Vision in Sports

    • Graham Thomas, Thomas B. Moeslund, Adrian Hilton
    Pages 1-21

  3. Where Is the Ball?

    1. Front Matter

      Pages 23-23
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    2. Ball Tracking for Tennis Video Annotation

      • Fei Yan, William Christmas, Josef Kittler
      Pages 25-45

    3. Plane Approximation-Based Approach for 3D Reconstruction of Ball Trajectory for Performance Analysis in Table Tennis

      • Sho Tamaki, Hideo Saito
      Pages 47-66

    4. On-Field Testing and Evaluation of a Goal-Line Technology System

      • Paolo Spagnolo, Pier Luigi Mazzeo, Marco Leo, Massimiliano Nitti, Ettore Stella, Arcangelo Distante
      Pages 67-90

  4. Where are the Players?

    1. Front Matter

      Pages 91-91
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    2. Occlusion Detection via Structured Sparse Learning for Robust Object Tracking

      • Tianzhu Zhang, Bernard Ghanem, Changsheng Xu, Narendra Ahuja
      Pages 93-112

    3. Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models

      • Jingchen Liu, Peter Carr
      Pages 113-132

    4. Geometry Reconstruction of Players for Novel-View Synthesis of Sports Broadcasts

      • Tiberiu Popa, Marcel Germann, Remo Ziegler, Richard Keiser, Markus Gross
      Pages 133-160

    5. Estimating Athlete Pose from Monocular TV Sports Footage

      • Mykyta Fastovets, Jean-Yves Guillemaut, Adrian Hilton
      Pages 161-178

  5. What are they Playing?

    1. Front Matter

      Pages 179-179
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    2. Action Recognition in Realistic Sports Videos

      • Khurram Soomro, Amir R. Zamir
      Pages 181-208

    3. Classification of Sports Types Using Thermal Imagery

      • Rikke Gade, Thomas B. Moeslund
      Pages 209-227

    4. Event-Based Sports Videos Classification Using HMM Framework

      • Shyju Wilson, C. Krishna Mohan, K. Srirama Murthy
      Pages 229-244

  6. What’s Going on?

    1. Front Matter

      Pages 245-245
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    2. Representing Team Behaviours from Noisy Data Using Player Role

      • Alina Bialkowski, Patrick Lucey, Peter Carr, Sridha Sridharan, Iain Matthews
      Pages 247-269

    3. Recognizing Team Formation in American Football

      • Indriyati Atmosukarto, Bernard Ghanem, Mohamed Saadalla, Narendra Ahuja
      Pages 271-291

    4. Real-Time Event Detection in Field Sport Videos

      • Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Noel E. O’Connor
      Pages 293-316

  7. Back Matter

    Pages 317-319
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Keywords

About this book

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.

Editors and Affiliations

  • Aalborg University, Aalborg, Denmark

    Thomas B. Moeslund

  • BBC R&D, London, United Kingdom

    Graham Thomas

  • University of Surrey, Guildford, United Kingdom

    Adrian Hilton

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