| 基于提升小波变换和独立分量分析的运动目标检测 |
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| 引用本文： | 甘玲,刘国庆. 基于提升小波变换和独立分量分析的运动目标检测[J]. 计算机应用与软件, 2010, 27(5): 257-259 |
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| 作者姓名： | 甘玲 刘国庆 |
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| 作者单位： | 重庆邮电大学计算机科学与技术学院,重庆,400065 |
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| 摘 要： | 独立分量分析是一种新颖的盲源分离技术,可以有效分离信号中相互独立的源信号。为了提高独立分量分解的精度和收敛速度,提出了一种将提升小波变换和独立分量分析相结合的运动目标检测方法。仿真实验结果表明,此方法能够较好地检测出运动目标并且与一般的独立分量分析方法相比,减少了运行时间,具有更好的收敛性,是一种有效的运动目标检测方法。
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| 关 键 词： | 运动目标检测 独立分量分析 提升小波变换 |
MOVING OBJECT DETECTION BASED ON LIFTING WAVELET TRANSFORM AND INDEPENDENT COMPONENT ANALYSIS |
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| Gan Ling,Liu Guoqing. MOVING OBJECT DETECTION BASED ON LIFTING WAVELET TRANSFORM AND INDEPENDENT COMPONENT ANALYSIS[J]. Computer Applications and Software, 2010, 27(5): 257-259 |
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| Authors: | Gan Ling Liu Guoqing |
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| Affiliation: | College of Computer Science and Technology/a>;Chongqing University of Posts and Telecommunications/a>;Chongqing 400065/a>;China |
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| Abstract: | Independent component analysis(ICA) is a novel approach for blind source separation,which can effectively separate the relatively independent signals form the source.To enhance the precision of independent component decomposition and convergence rate,a new moving object detection method combining lifting wavelet transform and independent component analysis is proposed in this paper.Simulative experiment results show that it is able to well detect the moving object,and reduces the run time and has better con... |
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| Keywords: | Moving object detection Independent component analysis Lifting wavelet transform |
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