Computer Vision in Sports
Editors: Moeslund, Thomas B., Thomas, Graham, Hilton, Adrian (Eds.)
Free Preview- 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
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- About this book
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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.
- Table of contents (14 chapters)
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Introduction to the Use of Computer Vision in Sports
Pages 1-21
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Ball Tracking for Tennis Video Annotation
Pages 25-45
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Plane Approximation-Based Approach for 3D Reconstruction of Ball Trajectory for Performance Analysis in Table Tennis
Pages 47-66
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On-Field Testing and Evaluation of a Goal-Line Technology System
Pages 67-90
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Occlusion Detection via Structured Sparse Learning for Robust Object Tracking
Pages 93-112
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Table of contents (14 chapters)
- Download Preface 1 PDF (42.5 KB)
- Download Sample pages 2 PDF (920.8 KB)
- Download Table of contents PDF (54.2 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computer Vision in Sports
- Editors
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- Thomas B. Moeslund
- Graham Thomas
- Adrian Hilton
- Series Title
- Advances in Computer Vision and Pattern Recognition
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-09396-3
- DOI
- 10.1007/978-3-319-09396-3
- Hardcover ISBN
- 978-3-319-09395-6
- Softcover ISBN
- 978-3-319-37973-9
- Series ISSN
- 2191-6586
- Edition Number
- 1
- Number of Pages
- XI, 319
- Number of Illustrations
- 32 b/w illustrations, 139 illustrations in colour
- Topics
