Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:B6
Session:
Number:B6-2
An Efficient Threshold Method using Gaussian Modeling and Fuzziness Measurement for Moving Target Detection
Jae-Ho Lee, Ju-Young Kim, Tae-Kyu Kim, Ki-Hong Kim, Duk-Gyoo Kim,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
In this paper, we propose an efficient algorithm for moving target detection in many military applications such as automatic target recognition (ATR) systems. This algorithm first utilizes a double change detection method (DCDM) that briefly find the motion information of targets. The proposed algorithm employs adaptive threshold method consisted of Gaussian modeling (GM) for obtaining initial threshold and fuzzy information measurement (FIM) method to measure fuzziness degree on adjacent gray levels of the threshold vale of GM method for obtaining optimal threshold value.The results of simulation show that the proposed algorithm has significantly the good detection performance than the conventional methods.