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Detecting moving objects from slowly moving viewpoint for automotive rear view camera systems

机译:从汽车后视摄像头系统的缓慢移动的视点检测移动的物体

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Traditionally, moving object can be detected by using either background subtraction or optical flow methods. In most cases of moving camera, those methods introduce a lot of false-positives due to the stationary viewpoint assumption. In this paper, we suggest a method for moving object detection working with slowly moving background, specifically for the case of a vehicle's backing up scenario. We implement the method and the detection result from a sequence is compared with an optical flow method.
机译:传统上,可以使用背景减法或光流方法检测运动物体。在大多数移动摄像机的情况下,由于静态视点假设,这些方法会引入很多假阳性。在本文中,我们建议一种在背景缓慢移动的情况下进行运动物体检测的方法,特别是针对车辆后备场景的情况。我们实现了该方法,并将序列检测结果与光流方法进行了比较。

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