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Computer Vision in Sports

Previously published in hardcover
BuchKartoniert, Paperback
319 Seiten
Englisch
Springererschienen am07.10.2016Softcover reprint of the original 1st ed. 2014
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.mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99

Produkt

KlappentextThe 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.
Details
ISBN/GTIN978-3-319-37973-9
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2016
Erscheinungsdatum07.10.2016
AuflageSoftcover reprint of the original 1st ed. 2014
ReiheAdvances in Computer Vision and Pattern Recognition
Seiten319 Seiten
SpracheEnglisch
Gewicht434 g
IllustrationenXI, 319 p. 171 illus., 139 illus. in color.
Artikel-Nr.40397626

Inhalt/Kritik

Inhaltsverzeichnis
Introduction to the Use of Computer Vision in Sports.- Part I: Where is the Ball?.- Ball Tracking for Tennis Video Annotation.- Plane Approximation-Based Approach for 3D Reconstruction of Ball Trajectory for Performance Analysis in Table Tennis.- On-Field Testing and Evaluation of a Goal-Line Technology System.- Part II: Where Are the Players?.- Occlusion Detection via Structured Sparse Learning for Robust Object Tracking.- Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models.- Geometry Reconstruction of Players for Novel-View Synthesis of Sports Broadcasts.- Estimating Athlete Pose from Monocular TV Sports Footage.- Part III: What Are They Playing?.- Action Recognition in Realistic Sports Videos.- Classiï¬cation of Sports Types Using Thermal Imagery.- Event-Based Sports Videos Classiï¬cation Using HMM Framework.- Part IV: What's Going On?.- Representing Team Behaviours from Noisy Data Using Player Role.- Recognizing Team Formation in American Football.- Real-Time Event Detection in Field Sport Videos.mehr

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