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一种基于FastICA的运动目标检测新方法 被引量:9

A New Method for the Detection of Moving Target Based on Fast Independent Component Analysis
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摘要 独立分量分析是一种新颖的盲源分离技术,目前已经在语音识别、图像处理、通信系统和医学信号处理等领域得到了广泛的关注。简单介绍了独立分量分析的基本理论和算法,用快速独立分量分析(FastICA)方法进行运动目标检测的试验,试验结果表明这是一种鲁棒性较强的运动目标检测方法。 Independent component analysis (ICA) is a novel approach of blind source separation and has received a great deal of attention because of its potential application in signal processing, such as speech recognition, image processing, telecommunication system and medical signal processing. This paper introduces the fundamental theory and algorithm of ICA in brief. And a new method for the detection of moving target based on fast independent component analysis is used. The experiment results show that it is a robust method.
出处 《计算机工程》 CAS CSCD 北大核心 2004年第3期58-60,共3页 Computer Engineering
关键词 独立分量分析 运动目标检测 FASTICA Independent component analysis Detection of moving target FastICA
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