Computer Vision in Sports

<p>Introduction to the Use of Computer Vision in Sports<br>Graham Thomas, Thomas B. Moeslund and Adrian Hilton</p><p>Part I: Where is the Ball?</p><p>Ball Tracking for Tennis Video Annotation<br>Fei Yan, William Christmas and Josef Kittler</p><p>Plane Approximation-Based Approach for 3D Reconstruction of Ball Trajectory for Performance Analysis in Table Tennis<br>Sho Tamaki and Hideo Saito</p><p>On-Field Testing and Evaluation of a Goal-Line Technology System<br>Paolo Spagnolo, Pier Luigi Mazzeo, Marco Leo, Massimiliano Nitti, Ettore Stella and Arcangelo Distante</p><p>Part II: Where Are the Players?</p><p>Occlusion Detection via Structured Sparse Learning for Robust Object Tracking<br>Tianzhu Zhang, Bernard Ghanem, Changsheng Xu and Narendra Ahuja</p><p>Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models<br>Jingchen Liu and Peter Carr</p><p>Geometry Reconstruction of Players for Novel-View Synthesis of Sports Broadcasts<br>Tiberiu Popa, Marcel Germann, Remo Ziegler, Richard Keiser and Markus Gross</p><p>Estimating Athlete Pose from Monocular TV Sports Footage<br>Mykyta Fastovets, Jean-Yves Guillemaut and Adrian Hilton</p><p>Part III: What Are They Playing?</p><p>Action Recognition in Realistic Sports Videos<br>Khurram Soomro and Amir Roshan Zamir</p><p>Classification of Sports Types Using Thermal Imagery<br>Rikke Gade and Thomas B. Moeslund</p><p>Event-Based Sports Videos Classification Using HMM Framework<br>Shyju Wilson, C. Krishna Mohan and K. Srirama Murthy</p><p>Part IV: What's Going On?</p><p>Representing Team Behaviours from Noisy Data Using Player Role<br>Alina Bialkowski, Patrick Lucey, Peter Carr, Sridha Sridharan and Iain Matthews</p><p>Recognizing Team Formation in American Football<br>Indriyati Atmosukarto, Bernard Ghanem, Mohamed Saadalla and Narendra Ahuja</p><p>Real-Time Event Detection in Field Sport Videos<br>Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka and Noel E. O’Connor</p>