Semantic Event Detection in Golf Video Using Hidden Markov Model

은닉 마코프 모델을 이용한 골프 비디오의 시멘틱 이벤트 검출

  • 김천석 (한국정보통신대학교 대학원 공학부) ;
  • 추진호 (삼성전자 디지털 미디어) ;
  • 배태면 (서울대학교 컴퓨터 연구소) ;
  • 진성호 (한국정보통신대학교 대학원 공학부) ;
  • 노용만 (한국정보통신대학교 공학부)
  • Published : 2004.11.01


In this paper, we propose an algorithm to detect semantic events in golf video using Hidden Markov Model. The purpose of this paper is to identify and classify the golf events to facilitate highlight-based video indexing and summarization. In this paper we first define 4 semantic events, and then design HMM model with states made up of each event. We also use 10 multiple visual features based on MPEG-7 visual descriptors to acquire parameters of HMM for each event. Experimental results showed that the proposed algorithm provided reasonable detection performance for identifying a variety of golf events.