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dc.contributor.authorChen, Hua-Tsungen_US
dc.contributor.authorTsai, Wen-Jiinen_US
dc.contributor.authorLee, Suh-Yinen_US
dc.date.accessioned2014-12-08T15:23:11Z-
dc.date.available2014-12-08T15:23:11Z-
dc.date.issued2009en_US
dc.identifier.isbn978-1-4244-4290-4en_US
dc.identifier.issn1945-7871en_US
dc.identifier.urihttp://hdl.handle.net/11536/16280-
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.subjectobject segmentationen_US
dc.subjectsports video analysisen_US
dc.titleSTANCE-BASED STRIKE ZONE SHAPING AND VISUALIZATION IN BROADCAST BASEBALL VIDEO: PROVIDING REFERENCE FOR PITCH LOCATION POSITIONINGen_US
dc.typeProceedings Paperen_US
dc.identifier.journalICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3en_US
dc.citation.spage302en_US
dc.citation.epage305en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000277357000075-
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