Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
Journal of Visual Communication and Image Representation
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Fusion of audio and motion information on HMM-based highlight extraction for baseball games
IEEE Transactions on Multimedia
Human Behavior Analysis for Highlight Ranking in Broadcast Racket Sports Video
IEEE Transactions on Multimedia
Sports Information Retrieval for Video Annotation
International Journal of Digital Library Systems
Automatic player behavior analyses from baseball broadcast videos
AMT'12 Proceedings of the 8th international conference on Active Media Technology
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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.