Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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An Approach to Target Tracking Using Region-Based Similarity of the Image Segmented by Least-Eigenvalue

최소고유치로 분할된 영상의 영역기반 유사도를 이용한 목표추적

  • 오홍균 (공군강릉비행단) ;
  • 손용준 (고려대학교 산업시스템공학과) ;
  • 장동식 (고려대학교 산업시스템공학과) ;
  • 김문화 (고려대학교 정보통신기술연구소)
  • Published : 2002.04.01
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Abstract

The main problems of computational complexity in object tracking are definition of objects, segmentations and identifications in non-structured environments with erratic movements and collisions of objects. The object's information as a region that corresponds to objects without discriminating among objects are considered. This paper describes the algorithm that, automatically and efficiently, recognizes and keeps tracks of interest-regions selected by users in video or camera image sequences. The block-based feature matching method is used for the region tracking. This matching process considers only dominant feature points such as corners and curved-edges without requiring a pre-defined model of objects. Experimental results show that the proposed method provides above 96% precision for correct region matching and real-time process even when the objects undergo scaling and 3-dimen-sional movements In successive image sequences.

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References

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