Extraction of Baseball Trajectory and Physics-Based Validation for Single-View Baseball Video Sequences

To enrich the viewing experience of baseball games and provide some clues for enhancing pitcher´s performance, we propose a Kalman filter-based approach to track ball trajectory from single-view pitching sequences. Without setting extraordinary equipments in stadiums or other sensing instruments, this approach robustly extracts ball trajectory for pitching sequences captured from TV channels or downloaded from the Internet. To validate the detected ball trajectories, we investigate the characteristics of ball trajectories on the basis of a baseball physical model. The effectiveness of ball trajectory extraction and ball position detection are presented