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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Wei-Ta Chu Chia-Wei Wang Ja-Ling Wu | 
| Copyright Year | 2006 | 
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei (Wei-Ta Chu; Chia-Wei Wang; Ja-Ling Wu) | 
| Abstract | 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 | 
| Starting Page | 1813 | 
| Ending Page | 1816 | 
| File Size | 168126 | 
| Page Count | 4 | 
| File Format | |
| ISBN | 1424403667 | 
| DOI | 10.1109/ICME.2006.262905 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2006-07-09 | 
| Publisher Place | Canada | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Video sequences Games Kalman filters Information filtering Information filters Trajectory Instruments Robustness TV Internet | 
| Content Type | Text | 
| Resource Type | Article | 
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