000722856 000__ 02838cam\a2200493Ii\4500
000722856 001__ 722856
000722856 005__ 20230306140247.0
000722856 006__ m\\\\\o\\d\\\\\\\\
000722856 007__ cr\un\nnnunnun
000722856 008__ 150121s2014\\\\sz\a\\\\ob\\\\001\0\eng\d
000722856 020__ $$a9783319093963$$qelectronic book
000722856 020__ $$a3319093967$$qelectronic book
000722856 020__ $$z9783319093956
000722856 0247_ $$a10.1007/978-3-319-09396-3$$2doi
000722856 035__ $$aSP(OCoLC)ocn900539799
000722856 035__ $$aSP(OCoLC)900539799
000722856 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dYDXCP$$dCOO$$dOCLCF
000722856 049__ $$aISEA
000722856 050_4 $$aTA1634
000722856 08204 $$a006.37$$223
000722856 24500 $$aComputer vision in sports$$h[electronic resource] /$$cThomas B. Moeslund, Graham Thomas, Adrian Hilton, editors.
000722856 264_1 $$aCham ;$$aHeidelberg ;$$aNew York :$$bSpringer,$$c[2014]
000722856 264_4 $$c©2014
000722856 300__ $$a1 online resource :$$billustrations
000722856 336__ $$atext$$btxt$$2rdacontent
000722856 337__ $$acomputer$$bc$$2rdamedia
000722856 338__ $$aonline resource$$bcr$$2rdacarrier
000722856 4901_ $$aAdvances in computer vision and machine intelligence
000722856 504__ $$aIncludes bibliographical references and index.
000722856 5050_ $$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 -- 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.
000722856 506__ $$aAccess limited to authorized users.
000722856 650_0 $$aComputer vision.
000722856 650_0 $$aSports.
000722856 650_0 $$aImage processing$$xDigital techniques.
000722856 650_0 $$aAutomatic tracking.
000722856 7001_ $$aMoeslund, Thomas B.$$eeditor.
000722856 7001_ $$aThomas, Graham,$$d1964-$$eeditor.
000722856 7001_ $$aHilton, Adrian,$$eeditor.
000722856 77608 $$iPrint version:$$z9783319093956
000722856 830_0 $$aAdvances in computer vision and machine intelligence.
000722856 852__ $$bebk
000722856 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-09396-3$$zOnline Access$$91397441.1
000722856 909CO $$ooai:library.usi.edu:722856$$pGLOBAL_SET
000722856 980__ $$aEBOOK
000722856 980__ $$aBIB
000722856 982__ $$aEbook
000722856 983__ $$aOnline
000722856 994__ $$a92$$bISE