Computer vision in sports / edited by Thomas B. Moeslund, Graham Thomas, Adrian Hilton.

Springer eBooks

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 -- 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.

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