Abstract
In baseball, the strike zone plays an important role in each pitch. Pitches which pass through the strike zone count as strikes, three of which strike out the batter. Thus, pitchers should acquire mastery of the strike zone. Moreover, the strike zone also provides the reference for positioning the pitch locations, about which sports fans and professionals have an intense interest in compile statistics. This paper presents a stance-based approach for strike zone shaping and visualization in broadcast baseball video. We design efficient and effective algorithms to detect the home plate, contour the batter, locate the features points on the batter contour, and finally outline the strike zone. The experiments show that the proposed framework is able to shape the strike zone fairly well in various broadcast baseball video sequences, needless of manual operation and additional camera setting.
Original language | English |
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Title of host publication | IEEE International Conference on Multimedia and Expo |
Pages | 302-305 |
Number of pages | 4 |
DOIs | |
State | Published - 23 Nov 2009 |
Event | 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States Duration: 28 Jun 2009 → 3 Jul 2009 |
Conference
Conference | 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 |
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Country | United States |
City | New York, NY |
Period | 28/06/09 → 3/07/09 |
Keywords
- Object segmentation
- Sports video analysis