文件名称:Moving-target-detection-method
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A moving object detection method based on artificial bee colony algorithm. Moving target detection problem will be converted to the use of independent component analysis
Principle issue, the choice of kurtosis as a criterion for solving signal independent components, the use of artificial bee colony algorithm based on kurtosis objective function to optimize demand
Solutions, through to related methods removed image sequences separated signal components, thus achieving the goal of the movement trajectory successfully extracted. For analog
Moving objects and actual movement of the object image simulation experiments show that the method can detect a clear sequence of images of moving objects trajectory.-A moving object detection method based on artificial bee colony algorithm. Moving target detection problem will be converted to the use of independent component analysis
Principle issue, the choice of kurtosis as a criterion for solving signal independent components, the use of artificial bee colony algorithm based on kurtosis objective function to optimize demand
Solutions, through to related methods removed image sequences separated signal components, thus achieving the goal of the movement trajectory successfully extracted. For analog
Moving objects and actual movement of the object image simulation experiments show that the method can detect a clear sequence of images of moving objects trajectory.
Principle issue, the choice of kurtosis as a criterion for solving signal independent components, the use of artificial bee colony algorithm based on kurtosis objective function to optimize demand
Solutions, through to related methods removed image sequences separated signal components, thus achieving the goal of the movement trajectory successfully extracted. For analog
Moving objects and actual movement of the object image simulation experiments show that the method can detect a clear sequence of images of moving objects trajectory.-A moving object detection method based on artificial bee colony algorithm. Moving target detection problem will be converted to the use of independent component analysis
Principle issue, the choice of kurtosis as a criterion for solving signal independent components, the use of artificial bee colony algorithm based on kurtosis objective function to optimize demand
Solutions, through to related methods removed image sequences separated signal components, thus achieving the goal of the movement trajectory successfully extracted. For analog
Moving objects and actual movement of the object image simulation experiments show that the method can detect a clear sequence of images of moving objects trajectory.
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基于人工蜂群算法的运动目标检测方法_陈雷.pdf
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