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基于ICA-R的目标运动变化检测
引用本文:韩冬,马晓红. 基于ICA-R的目标运动变化检测[J]. 山西师范大学学报:自然科学版, 2010, 24(1): 58-60
作者姓名:韩冬  马晓红
作者单位:韩冬(山西师范大学物理与信息工程学院,山西,临汾,041004);马晓红(大连理工大学,辽宁,大连,116024) 
摘    要:针对实时场景下复杂背景动态变化的特点,在ICA(独立分量分析)模型的基础上,本文将带参考信号的独立分量分析(Independent Component Analysis with Reference, ICA-R)方法引入到目标跟踪环节,该算法能够检测出两帧图像之间目标运动变化而不是背景变化部分,克服了目前大多数基于简单差分模型的变化检测算法计算量大,抗噪声、抗抖动性能弱的问题.实验结果表明,这种方法能够准确地提取出实时场景中目标的运动变化区域,并具有很强的鲁棒性.

关 键 词:复杂背景  独立分量分析  目标运动变化检测  带参考信号的独立分量分析

Detection Method for Change of Targets Movement Based on Independent Component Analysis with Reference
HAN Dong,MA Xiao-hong. Detection Method for Change of Targets Movement Based on Independent Component Analysis with Reference[J]. Journal of Shanxi Teachers University, 2010, 24(1): 58-60
Authors:HAN Dong  MA Xiao-hong
Affiliation:HAN Dong1,MA Xiao-hong2(1.School of Physics & Information,Shanxi Normal University,Linfen 041004,Shanxi,China,2.School of Communications,Dalian University of Technology,Dalian 116024,Liaoning,China)
Abstract:According to the features of dynamic changes of the complex background in real-time sceneries,a new method for the change detection of moving targets was proposed with the help of the Independent Component Analysis with Reference.In this method,only moving of the targets is detected well and the changes of back-ground are not done.Therefore,the majority of the current change detection algorithms based on simple image differencing models are not largely dependent on the precision of geometric alignment for i...
Keywords:complex background  independent component analysis(ICA)  targets moving change detection  independent component analysis with reference(ICA-R)  
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