Automatic classification of tennis video for high-level content-based retrieval

被引：93

作者：

Sudhir, G ^{[1
]}

Lee, JCM ^{[1
]}

Jain, AK ^{[1
]}

机构：

[1] Univ Calif Riverside, VIS Lab, Riverside, CA 92521 USA

来源：

1998 IEEE INTERNATIONAL WORKSHOP ON CONTENT-BASED ACCESS OF IMAGE AND VIDEO DATABASE, PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/CAIVD.1998.646036

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents our techniques and results on automatic analysis of tennis video to facilitate content-based retrieval. Our approach is based on the generation of an image model for the tennis court-lines. We derive this model by using the knowledge about dimensions and connectivity (form) of a tennis court and typical camera geometry used when capturing a tennis video. We use this model to develop (i) a court line detection algorithm and (ii) a robust player-tracking algorithm to track the tennis players over the images sequence. We also present a color-based algorithm to select tennis court clips from an input raw footage of tennis video. Automatically extracted tennis court lines and the players' location information are analyzed in a high-level reasoning module and related to useful high-level tennis play events. Results on real tennis video data are presented demonstrating the validity and performance of the approach.

引用

页码：81 / 90

页数：10