Computer Vision
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A real time player tracking system for broadcast tennis video
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Generic 3-d modeling for content analysis of court-net sports sequences
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Video structure analysis for content-based indexing and categorisation of TV sports news
International Journal of Intelligent Information and Database Systems
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In this paper we propose a complete system for automatic annotation of tennis video sequences. The method is completely automatic and computationally efficient. The court lines are detected by means of the Hough Transform while the players' positions are extracted looking for those edge pixels whose orientation is different from the lines of the court. Finally, we show some experimental results remarking the system efficiency and classification skills.