文章基本信息

标题：Moving Target Detection in Complex Background
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作者：Yu-Long Qiao ; Xian-Rui Song
期刊名称：Research Journal of Information Technology
印刷版ISSN：1815-7432
电子版ISSN：2151-7959
出版年度：2012
卷号：4
期号：4
页码：195-203
DOI：10.3923/rjit.2012.195.203
出版社：Academic Journals Inc., USA
摘要：Moving target detection is a key problem in many image based applications. For these scenes whose background is complex caused by stochastic motion, it becomes more difficult to well detect the moving targets. This study proposes a center-surround discriminant saliency based detection method using the Stationary Wavelet Transform (SWT) and the generalized Gamma distribution (GΓD). It makes use of the fact that the properties of the moving target and the complex background is different in the stationary wavelet domain and can be described by the GΓD model. The center-surround discriminant saliency which is to measure the difference between the current location and its surround, is determined with the Symmetrized Kullback-Leibler Distance (SKLD) of the GΓD models of the center and surround in the wavelet transform. Then the moving target is detected based on this discriminant saliency. The experimental results demonstrate the effectiveness of the proposed method.