A Real Time Player Tracking System for Broadcast Tennis Video

被引：0
|
作者：
Bao Dang [1 ]
An Tran [1 ]
Tien Dinh [1 ]
Dinh, Thang [2 ]
机构：
[1] Univ Sci, Fac Informat Technol, VNU HCMC, 227 Nguyen Van Cu, Ho Chi Minh City, Vietnam
[2] Univ So Calif, Dept Comp Sci, Los Angeles, CA 90089 USA
来源：
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT II, PROCEEDINGS | 2010年 / 5991卷
关键词：
Object detection; object tracking; sports analysis; feature extraction; camera calibration;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a novel framework for tennis player detection and tracking. The algorithm is built on (1) a powerful court-line pixel detection method utilizing intensity and texture pattern, (2) a fast RANSAC-based line parameter estimation which also determines line extents, and (3) a player segmentation and tracking algorithm exploiting knowledge of tennis court model. The content of the video is then explored at a highly semantic level. The framework was tested extensively on numerous challenging video sequences with various court environments and lighting conditions. The results show the robustness and the promising direction of our algorithm.
引用
收藏
页码：105 / +
页数：2
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