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An adaptive speed function of level set method for moving object extraction

机译:级别设定方法的自适应速度函数移动对象提取方法

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The convergence and stability of the level set method depend on the speed function. Therefore, it is important to define the speed function in a manner that is suitable for the individual application. In the present paper, we propose a novel speed function of the level set method for moving object extraction from a video sequence with a stationary background. The speed function focuses on the precision of moving object extraction. In the proposed extraction method, the outline between moving object regions and the background is estimated in advance based on the Gaussian noise distribution in the frame. The speed function is changed adaptively using the obtained outline in order to improve the convergence and precision of extraction. In addition, a new energy term in the direction of the contour of an object is incorporated into the speed function. The precision of the moving object extraction method using the proposed speed function is evaluated through computer simulations.
机译:级别集方法的收敛性和稳定性取决于速度函数。因此,以适合于各个应用的方式定义速度函数非常重要。在本文中,我们提出了一种新的速度集合方法,用于从静止背景从视频序列移动对象提取。速度功能侧重于移动对象提取的精度。在所提出的提取方法中,基于帧中的高斯噪声分布​​,预先估计移动物体区域和背景之间的轮廓。使用所获得的概述自适应地改变速度功能,以提高提取的收敛性和精度。另外,对象的轮廓方向上的新能量术语结合到速度函数中。通过计算机模拟评估使用所提出的速度函数的移动对象提取方法的精度。

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