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Multiple Neural Network Based Object Segmentation in a Sequence of Color Image Frames

机译:基于多个神经网络的基于彩色图像帧的对象分割

摘要

An image processing apparatus and method for object segmentation in color image frames are provided. The image processing apparatus generates, based on the first neural network model, a first foreground mask and a second foreground mask for the object of interest in a first color image frame and an upcoming color image frame of the sequence of color image frames, respectively. The image processing apparatus determines a third foreground mask based on the interpolation of the first foreground mask and the second foreground mask, and updates the third foreground mask to the fourth foreground mask by using the second neural network model. The image processing apparatus divides the object of interest from at least the first color image frame, the upcoming color image frame, and the intermediate color image frame by using the first foreground mask, the second foreground mask, and the fourth foreground mask, respectively.
机译:提供了彩色图像帧中的对象分割的图像处理装置和方法。 图像处理设备基于第一神经网络模型,第一前景掩模和第二前景掩模和第二前景掩模,用于分别在第一彩色图像帧和彩色图像帧序列的即将展示的彩色图像帧中。 图像处理设备基于第一前景掩模和第二前景掩模的插值确定第三前景掩模,并通过使用第二神经网络模型将第三前景掩模更新到第四前景掩模。 通过使用第一前景掩模,第二前景掩模和第四前景掩模,图像处理设备将感兴趣的对象划分为至少第一彩色图像帧,即将到来的彩色图像帧和中间彩色图像帧。

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