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

机译:水平集方法的自适应速度函数用于运动目标提取

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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:水平设置方法的收敛性和稳定性取决于速度函数。因此,以适合各个应用的方式定义速度功能非常重要。在本文中,我们提出了一种新的水平集方法的速度函数,该方法用于从具有固定背景的视频序列中提取运动对象。速度功能着重于运动对象提取的精度。在提出的提取方法中,基于帧中的高斯噪声分布​​,预先估计运动对象区域和背景之间的轮廓。使用获得的轮廓自适应地更改速度函数,以提高提取的收敛性和精度。另外,在物体轮廓方向上的新能量项被并入速度函数中。通过计算机仿真评估使用提出的速度函数的运动对象提取方法的精度。

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