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Scale Invariant Target Detection using the Laplacian Scale-Space with Adaptive Threshold  

Kim, Sung-Ho (ADD)
Yang, Yu-Kyung (ADD)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.11, no.1, 2008 , pp. 66-74 More about this Journal
Abstract
This paper presents a new small target detection method using scale invariant feature. Detecting small targets whose sizes are varying is very important to automatic target detection. Scale invariant feature using the Laplacian scale-space can detect different sizes of targets robustly compared to the conventional spatial filtering methods with fixed kernel size. Additionally, scale-reflected adaptive thresholding can reduce many false alarms. Experimental results with real IR images show the robustness of the proposed target detection in real world.
Keywords
Target Detection; Small Target; Scale Invariant; Adaptive Threshold;
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