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Moving object detection method based on the cloud model and background subtraction

机译:基于云模型和背景减法的运动目标检测方法

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摘要

Moving object detection has an important role in machine vision and video processing. In the paper, we present a method based on the cloud model and background subtraction. First, a background subtraction in the image is done and the moving window is used to segment the image. Cloud model is used in the moving window to detect the moving object, with the concept extracting of the cloud model. At last, an experiment is given and compared with the background subtraction and the cloud model. It shows that our method is relative, precise and effective.
机译:运动对象检测在机器视觉和视频处理中具有重要作用。在本文中,我们提出了一种基于云模型和背景扣除的方法。首先,在图像中进行背景扣除,然后使用移动窗口对图像进行分割。在移动窗口中使用云模型来检测运动对象,并提取云模型的概念。最后进行了实验,并与背景减法和云模型进行了比较。它表明我们的方法是相对的,精确的和有效的。

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