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Low cost automatic object segmentation by detecting a signature motion within an optical flow signal

机译:通过检测光流信号内的签名运动,实现低成本的自动对象分割

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Induced motion provides a cheap and reliable way of segmenting an object from the background within an image. As such it has potential applications to a wide variety of machine vision systems. This paper presents a system that segments an object from the background by inducing a sinusoidal motion and then searching for the signal in the resulting optical flow. The effectiveness of the system is evaluated using ROC curves and shown to be reliable and robust in the presence of distractor motions.
机译:诱导运动提供了一种从图像中的背景中分割对象的廉价而可靠的方法。因此,它在各种机器视觉系统中都有潜在的应用。本文提出了一种系统,该系统通过诱导正弦运动然后从产生的光流中搜索信号来从背景中分割对象。使用ROC曲线评估了系统的有效性,并且在存在牵张器运动的情况下显示出该系统的可靠性和鲁棒性。

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