The KIPS Transactions:PartD (정보처리학회논문지D)

Korea Information Processing Society (한국정보처리학회)
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Spatio-Temporal Index Structure for Trajectory Queries of Moving Objects in Video

비디오에서 이동 객체의 궤적 검색을 위한 시공간 색인구조

  • 이낙규 (충북대학교 대학원 전기전자컴퓨터공학부 및 컴퓨터정보통신연구소) ;
  • 복경수 (충북대학교 대학원 전기전자컴퓨터공학부 및 컴퓨터정보통신연구소) ;
  • 유재수 (충북대학교 전기전자컴퓨터공학부 및 컴퓨터정보통신연구소) ;
  • 조기형 (충북대학교 전기전자컴퓨터공학부 및 컴퓨터정보통신연구소)
  • Published : 2004.02.01
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Abstract

A moving object has a special feature that it's spatial location, shape and size are changed as time goes. These changes of the object accompany the continuous movement that is called the trajectory. In this paper, we propose an index structure that users can retrieve the trajectory of a moving object with the access of a page. We also propose the multi-complex query that is a new query type for trajectory retrieval. In order to prove the excellence of our method, we compare and analyze the performance for query time and storage space through experiments in various environments. It is shown that our method outperforms the existing index structures when processing spatio-temporal trajectory queries on moving objects.

이동 객체는 시간이 변화함에 따라 공간적인 위치나 모양, 크기 등이 변화하는 특징을 가지고 있다. 이런 객체의 변화는 연속적인 움직임을 수반하고 있는데, 이것을 궤적이라 한다. 본 논문에서는 한번의 노드 접근으로 이동 객체의 궤적을 검색할 수 있는 색인구조를 제안한다. 또한 시공간 범위검색은 물론 궤적검색에 효율적인 다중복합 검색을 제안한다. 제안된 방법의 우수성을 보이기 위해 실험을 통하여 검색시간과 저장공간에 대한 성능을 여러 환경에서 비교 분석하여 기존의 색인구조들에 비해 이동 객체의 시공간 궤적검색이 우수함을 보인다.

Keywords

References

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