Detecting tactics patterns for archiving tennis video clips

Author

Wang, Jenny R. ; Parameswaran, Nandan

Author_Institution

Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia

fYear

2004

fDate

13-15 Dec. 2004

Firstpage

186

Lastpage

192

Abstract

Video processing has found many applications in sports such as slow motion replay, pattern analysis, statistics collection, video archiving, etc. This paper presents an automatic archiving system for tennis games. It extracts ball trajectory using calibrated cameras. The trajectory is then used to classify tennis video clips into 58 tactic patterns. Semantic annotation is then attached to each clip so future query can be made easily. The annotated video clips can be used for training, sports analysis, broadcasting, etc. It can also be used for online browsing and streaming.

Keywords

belief networks; image classification; information retrieval; software agents; sport; statistical analysis; tracking; video databases; Bayesian networks; automatic archiving system; ball tracking; calibrated cameras; intelligent agents; online browsing; pattern analysis; semantic annotation; sports analysis; statistics collection; tennis games; tennis video clips; video processing; Australia; Bayesian methods; Cameras; Digital video broadcasting; Games; Intelligent agent; Motion analysis; Pattern analysis; Statistical analysis; Trajectory; Bayesian networks; intelligent agents; sports analysis; tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Software Engineering, 2004. Proceedings. IEEE Sixth International Symposium on

Print_ISBN

0-7695-2217-3

Type

conf

DOI

10.1109/MMSE.2004.40

Filename

1376660