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.