Event Detection and Recognition Using HMM with Whistle Sounds

被引：2
|
作者：
Itoh, Hiroki [1 ]
Takiguchi, Tetsuya [2 ]
Ariki, Yasuo [2 ]
机构：
[1] Kobe Univ, Grad Sch Syst Informat, Kobe, Hyogo 657, Japan
[2] Kobe Univ, Org Adv Sci & Technol, Kobe, Hyogo 657, Japan
来源：
2013 INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS) | 2013年
关键词：
Hidden Markov Model (HMM); event detection; whistle sounds; player tracking; soccer game; TRACKING;
D O I：
10.1109/SITIS.2013.14
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a new method to detect and recognize events robustly in a soccer game. Based on the players density and speed, the events are detected and recognized using Hidden Markov Model (HMM). However, it is difficult to detect "free kick" and "throw in" because these events occur anytime and anywhere. In a soccer game, some event occurs when the referee blows a whistle or a ball is out of field. Therefore, we improve the detection accuracy of the events such as "free kick" and "throw in" by using these information when they occur. Also, event recognition is performed by an integration method of the results obtained using two types of HMMs : one is for players and the other is for a ball.
引用
收藏
页码：14 / 21
页数：8
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