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Moving object detection using background subtraction and motion depth detection in depth image sequences

机译:在深度图像序列中使用背景减法和运动深度检测移动物体检测

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We propose a novel method that detects moving objects in depth image sequences using background images and motion depth (MD) values. The background image represents the camera view with no moving objects and the MDs are the depth values of moving objects. Foreground regions can be easily detected by background subtraction; however, the foreground regions have some noise and do not contain a regional diffusion of depth values. Therefore, we apply both background subtraction and motion depth detection to detect moving objects. Experimental results show the proposed method robustly detects moving objects, even if the moving region exists in close proximity to the background surfaces. Therefore, the method can be widely used to detect moving objects in depth image sequences.
机译:我们提出了一种使用背景图像和运动深度(MD)值来检测深度图像序列中的移动物体的新方法。背景图像表示没有移动对象的相机视图,并且MD是移动物体的深度值。背景减法可以容易地检测到前景区域;然而,前景区域具有一些噪音,不包含深度值的区域扩散。因此,我们应用背景减法和运动深度检测来检测移动物体。实验结果表明,即使移动区域靠近背景表面,所提出的方法也是强大地检测移动物体。因此,该方法可以广泛用于检测深度图像序列中的移动物体。

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