Hidden Markov model based events detection in soccer video

被引：0

作者：

Jin, GY ^{[1
]}

Tao, LM ^{[1
]}

Xu, GY ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Comp Sci & Technol, Key Lab Pervas Comp, Minist Educ, Beijing 100084, Peoples R China

来源：

IMAGE ANALYSIS AND RECOGNITION, PT 1, PROCEEDINGS | 2004年 / 3211卷

关键词：

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 presents an algorithm developed based on hidden Markov model for cues fusion and event inference in soccer video. Four events, shoot, foul, offside and normal playing, are defined to be detected. The states of the events are employed to model the observations of the five cues, which are extracted from the shot sequences directly. The experimental results show the algorithm is effective and robust in inferring events from roughly extracted cues.

引用

页码：605 / 612

页数：8

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