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http://dx.doi.org/10.5302/J.ICROS.2002.8.4.327

An Approach to Target Tracking Using Region-Based Similarity of the Image Segmented by Least-Eigenvalue  

Oh, Hong-Gyun (공군강릉비행단)
Sohn, Yong-Jun (고려대학교 산업시스템공학과)
Jang, Dong-Sik (고려대학교 산업시스템공학과)
Kim, Mun-Hwa (고려대학교 정보통신기술연구소)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.4, 2002 , pp. 327-332 More about this Journal
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.
Keywords
block-based feature matching; interest-regions; dominant feature points;
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