Computer Vision in Sports

  • Thomas B. Moeslund
  • Graham Thomas
  • Adrian Hilton

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Graham Thomas, Thomas B. Moeslund, Adrian Hilton
    Pages 1-21
  3. Where Is the Ball?

    1. Front Matter
      Pages 23-23
    2. Fei Yan, William Christmas, Josef Kittler
      Pages 25-45
    3. 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
    2. Tianzhu Zhang, Bernard Ghanem, Changsheng Xu, Narendra Ahuja
      Pages 93-112
    3. Tiberiu Popa, Marcel Germann, Remo Ziegler, Richard Keiser, Markus Gross
      Pages 133-160
    4. Mykyta Fastovets, Jean-Yves Guillemaut, Adrian Hilton
      Pages 161-178
  5. What are they Playing?

    1. Front Matter
      Pages 179-179
    2. Khurram Soomro, Amir R. Zamir
      Pages 181-208
    3. Rikke Gade, Thomas B. Moeslund
      Pages 209-227
    4. Shyju Wilson, C. Krishna Mohan, K. Srirama Murthy
      Pages 229-244
  6. What’s Going on?

    1. Front Matter
      Pages 245-245
    2. Alina Bialkowski, Patrick Lucey, Peter Carr, Sridha Sridharan, Iain Matthews
      Pages 247-269
    3. Indriyati Atmosukarto, Bernard Ghanem, Mohamed Saadalla, Narendra Ahuja
      Pages 271-291
    4. Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Noel E. O’Connor
      Pages 293-316
  7. Back Matter
    Pages 317-319

About this book

Introduction

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.

Topics and features:

  • Describes the latest research into ball tracking, addressing the challenges posed by the presence of occlusions and the use of only a small number of cameras
  • Reviews various systems for player tracking and pose estimation
  • Presents approaches for the improved generation of statistics and synthesis of virtual views
  • Explores the “higher level” analysis of sports, from identifying types of sports to recognizing particular team behaviors based on multiple event or motion detections
  • Discusses the detection of specific kinds of events for automatic highlights generation or searching of video archives

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.

Prof. Thomas B. Moeslund is Head of Media Technology, Aalborg, and Head of the Visual Analysis of People Lab at Aalborg University, Denmark. Dr. Graham Thomas leads the Immersive and Interactive Content team at BBC Research & Development, London, UK. Prof. Adrian Hilton is Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey, Guildford, UK.

Keywords

Computer Vision Human Activity and Behavior Image and Video Analysis Machine Learning People Detection and Tracking Sports

Editors and affiliations

  • Thomas B. Moeslund
    • 1
  • Graham Thomas
    • 2
  • Adrian Hilton
    • 3
  1. 1.Aalborg UniversityAalborgDenmark
  2. 2.BBC R&DLondonUnited Kingdom
  3. 3.University of SurreyGuildfordUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09396-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09395-6
  • Online ISBN 978-3-319-09396-3
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book