LEADER 00732cam0-2200229 --450 001 9910308259203321 005 20190211122328.0 100 $a20190211d1939----km y0itay50 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $a<>tecnica del disegno delle macchine$econvenzioni e materiali, norme di costruzione, resistenza dei collegamenti e degli alberi$fMario Tessarotto 210 $aMilano$cU. Hoepli$d1939 215 $aXI, 205 p.$cill.$d24 cm 700 1$aTessarotto,$bMario G.$0761733 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910308259203321 952 $aB 1/27$b69$fDINTR 959 $aDINTR 996 $aTecnica del disegno delle macchine$91542558 997 $aUNINA LEADER 05541nam 22007095 450 001 9910298993303321 005 20201108014744.0 010 $a9783319093963 010 $a3319093967 024 7 $a10.1007/978-3-319-09396-3 035 $a(CKB)3710000000342466 035 $a(EBL)1967893 035 $a(SSID)ssj0001424433 035 $a(PQKBManifestationID)11869045 035 $a(PQKBTitleCode)TC0001424433 035 $a(PQKBWorkID)11363945 035 $a(PQKB)10891980 035 $a(MiAaPQ)EBC1967893 035 $a(DE-He213)978-3-319-09396-3 035 $a(PPN)183520726 035 $a(EXLCZ)993710000000342466 100 $a20150119d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputer Vision in Sports /$fedited by Thomas B. Moeslund, Graham Thomas, Adrian Hilton 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (322 p.) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 300 $aDescription based upon print version of record. 311 08$a9783319093956 311 08$a3319093959 320 $aIncludes bibliographical references and index. 327 $aIntroduction 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 -- Classi?cation of Sports Types Using Thermal Imagery -- Event-Based Sports Videos Classi?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. 330 $aThe first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. Topics and features: Describes the latest research into ball tracking, addressing the challenges posed by the presence of occlusions and the use of only a small number of cameras Reviews various systems for player tracking and pose estimation Presents approaches for the improved generation of statistics and synthesis of virtual views Explores the ?higher level? analysis of sports, from identifying types of sports to recognizing particular team behaviors based on multiple event or motion detections Discusses the detection of specific kinds of events for automatic highlights generation or searching of video archives The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production. Prof. Thomas B. Moeslund is Head of Media Technology, Aalborg, and Head of the Visual Analysis of People Lab at Aalborg University, Denmark. Dr. Graham Thomas leads the Immersive and Interactive Content team at BBC Research & Development, London, UK. Prof. Adrian Hilton is Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey, Guildford, UK. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 606 $aOptical data processing 606 $aArtificial intelligence 606 $aApplication software 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a004 676 $a006.3 676 $a006.37 676 $a006.6 702 $aMoeslund$b Thomas B$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aThomas$b Graham$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHilton$b Adrian$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298993303321 996 $aComputer Vision in Sports$92262461 997 $aUNINA