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Specified Object Tracking Problem in an Environment of Multiple Moving Objects
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  • Specified Object Tracking Problem in an Environment of Multiple Moving Objects
  • Specified Object Tracking Problem in an Environment of Multiple Moving Objects
저자명
Park. Seung-Min,Park. Jun-Heong,Kim. Hyung-Bok,Sim. Kwee-Bo
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2011년|11권 2호|pp.118-123 (6 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects. A differential image region based tracking method for the detection of multiple moving objects is used. In order to ensure accurate object detection in an unconstrained environment, a background image update method is used. In addition, there exist problems in tracking a particular object through a video sequence, which cannot rely only on image processing techniques. For this, a probabilistic framework is used. Our proposed particle filter has been proved to be robust in dealing with nonlinear and non-Gaussian problems. The particle filter provides a robust object tracking framework under ambiguity conditions and greatly improves the estimation accuracy for complicated tracking problems.