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Real-Time Automatic Target Detection in CCD image  

유정재 (한국과학기술원)
선선구 (국방과학연구소)
박현욱 (한국과학기술원)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.6, 2004 , pp. 99-108 More about this Journal
Abstract
In this paper, a new fast detection and clutter rejection method is proposed for CCD-image-based Automatic Target Detection System. For defence application, fast computation is a critical point, thus we concentrated on the ability to detect various targets with simple computation. In training stage, 1D template set is generated by regional vertical projection and K-means clustering, and binary tree structure is adopted to reduce the number of template matching in test stage. We also use adaptive skip-width by Correlation-based Adaptive Predictive Search(CAPS) to further improve the detecting speed. In clutter rejection stage, we obtain Fourier Descriptor coefficients from boundary information, which are useful to rejected clutters.
Keywords
Automatic target detection; template matching; CCD image; binary tree; Fourier Descriptor CAPS;
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