Computer Vision in Sports

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Weitere Verfasser: Moeslund, Thomas B. (HerausgeberIn), Thomas, Graham (HerausgeberIn), Hilton, Adrian (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cham ; Heidelberg ; New York ; Dordrecht ; London Springer [2014]
Schriftenreihe:Advances in Computer Vision and Pattern Recognition
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Datensatz im Suchindex

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DE-BY-UBG_local_url Verlag
https://doi.org/10.1007/978-3-319-09396-3
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adam_text COMPUTER VISION IN SPORTS / MOESLUND, THOMAS B. : 2014 TABLE OF CONTENTS / 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 CLASSIfiCATION OF SPORTS TYPES USING THERMAL IMAGERY EVENT-BASED SPORTS VIDEOS CLASSIfiCATION 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. COMPUTER VISION IN SPORTS / MOESLUND, THOMAS B. : 2014 ABSTRACT / INHALTSTEXT 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. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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indexdate 2024-09-27T16:26:41Z
institution BVB
isbn 9783319093963
language English
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physical 1 Online-Ressource (xi, 319 Seiten) Illustrationen
psigel ZDB-2-SCS
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publishDate 2014
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publisher Springer
record_format marc
series2 Advances in Computer Vision and Pattern Recognition
spellingShingle Computer Vision in Sports
Computer science
Artificial intelligence
Computer vision
Social sciences / Data processing
Computer Science
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Appl. in Social and Behavioral Sciences
Datenverarbeitung
Informatik
Künstliche Intelligenz
Sozialwissenschaften
Datenauswertung (DE-588)4131193-0 gnd
Videoaufzeichnung (DE-588)4188222-2 gnd
Sport (DE-588)4056366-2 gnd
Bewegung (DE-588)4006311-2 gnd
Bildanalyse (DE-588)4145391-8 gnd
Objektverfolgung (DE-588)4311226-2 gnd
Maschinelles Sehen (DE-588)4129594-8 gnd
subject_GND (DE-588)4131193-0
(DE-588)4188222-2
(DE-588)4056366-2
(DE-588)4006311-2
(DE-588)4145391-8
(DE-588)4311226-2
(DE-588)4129594-8
title Computer Vision in Sports
title_auth Computer Vision in Sports
title_exact_search Computer Vision in Sports
title_full Computer Vision in Sports edited by Thomas B. Moeslund, Graham Thomas, Adrian Hilton (Editors)
title_fullStr Computer Vision in Sports edited by Thomas B. Moeslund, Graham Thomas, Adrian Hilton (Editors)
title_full_unstemmed Computer Vision in Sports edited by Thomas B. Moeslund, Graham Thomas, Adrian Hilton (Editors)
title_short Computer Vision in Sports
title_sort computer vision in sports
topic Computer science
Artificial intelligence
Computer vision
Social sciences / Data processing
Computer Science
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Appl. in Social and Behavioral Sciences
Datenverarbeitung
Informatik
Künstliche Intelligenz
Sozialwissenschaften
Datenauswertung (DE-588)4131193-0 gnd
Videoaufzeichnung (DE-588)4188222-2 gnd
Sport (DE-588)4056366-2 gnd
Bewegung (DE-588)4006311-2 gnd
Bildanalyse (DE-588)4145391-8 gnd
Objektverfolgung (DE-588)4311226-2 gnd
Maschinelles Sehen (DE-588)4129594-8 gnd
topic_facet Computer science
Artificial intelligence
Computer vision
Social sciences / Data processing
Computer Science
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Appl. in Social and Behavioral Sciences
Datenverarbeitung
Informatik
Künstliche Intelligenz
Sozialwissenschaften
Datenauswertung
Videoaufzeichnung
Sport
Bewegung
Bildanalyse
Objektverfolgung
Maschinelles Sehen
url https://doi.org/10.1007/978-3-319-09396-3
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