標題: Baseball Event Semantic Exploring System Using HMM
作者: Tsai, Wei-Chin
Chen, Hua-Tsung
Gu, Hui-Zhen
Lee, Suh-Yin
Yu, Jen-Yu
資訊工程學系
Department of Computer Science
關鍵字: Training step;Classification step;Object detection;Play region classification;Semantic event;Hitting baseball event;Hidden Markov Model
公開日期: 2011
摘要: Despite a lot of research efforts in baseball video processing in recent years, little work has been done in analyzing the detailed semantic baseball event detection. This paper presents an effective and efficient baseball event classification system for broadcast baseball videos. Utilizing the specifications of the baseball field and the regularity of shot transition, the system recognizes highlight in video clips and identifies what semantic baseball event of the baseball clips is currently proceeding. First, a video is segmented into several highlights starting with a PC (Pitcher and Catcher) shot and ending up with some specific shots. Before every baseball event classifier is designed, several novel schemes including some specific features such as soil percentage and objects extraction such as first base are applied. The extracted mid-level cues are used to develop baseball event classifiers based on an HMM (Hidden Markov model). Due to specific features detection, more hitting baseball events are detected and the simulation results show that the classification of twelve significant baseball events is very promising.
URI: http://hdl.handle.net/11536/14580
ISBN: 978-3-642-17828-3
ISSN: 0302-9743
期刊: ADVANCES IN MULTIMEDIA MODELING, PT II
Volume: 6524
起始頁: 315
結束頁: 325
Appears in Collections:Conferences Paper