A review of vision-based systems for soccer video analysis

被引：107

作者：

D'Orazio, T. ^{[1
]}

Leo, M. ^{[1
]}

机构：

[1] CNR, Inst Intelligent Syst Automat, I-70126 Bari, Italy

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 08期

关键词：

Soccer video analysis; Computer vision; Low-level and high-level feature extraction; Modeling of feature dynamics; PEOPLE TRACKING; BALL DETECTION; PLAYERS; INFORMATION; INTERPOLATION; SEGMENTATION; SEQUENCES; EVENTS; SCENES; AUDIO;

D O I：

10.1016/j.patcog.2010.03.009

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 presents a survey of soccer video analysis systems for different applications: video summarization, provision of augmented information, high-level analysis. Computer vision techniques have been adapted to be applicable in the challenging soccer context. Different semantic levels of interpretation are required according to the complexity of the corresponding applications. For each application area we analyze the computer vision methodologies, their strengths and weaknesses and we investigate whether these approaches can be applied to extensive and real time soccer video analysis. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：2911 / 2926

页数：16

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