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A region based CAMShift tracking with a moving camera

机译:使用移动相机进行基于区域的CAMShift跟踪

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CAMShift algorithm is a fast and simple color based tracking algorithm but it is not robust to camera motion because it faces a problem when the tracked object moves across regions of background with similar colors with tracked object. Some algorithms have been proposed to reduce this problem. All of these proposed methods assign a probability to pixels belonging to object. However, in this paper we assign a probability to regions instead of pixels. Assigning probability to regions leads to a more accurate algorithm than the method of assigning probability to pixels. In this paper we proposed a region based approach to CAMShift (RCAMShift). We first demonstrate the problem of CAMShift. Then we show how our approach can improve CAMShift algorithm especially in a situation where there are similar colors in background.
机译:CAMShift算法是一种快速,简单的基于颜色的跟踪算法,但是它对摄像机运动并不可靠,因为当被跟踪对象在背景颜色与被跟踪对象相似的背景区域中移动时,它会遇到问题。已经提出了一些算法来减少这个问题。所有这些提出的方法将概率分配给属于对象的像素。但是,在本文中,我们将概率分配给区域而不是像素。与向像素分配概率的方法相比,将概率分配给区域的算法更准确。在本文中,我们提出了一种基于区域的CAMShift方法(RCAMShift)。我们首先演示CAMShift问题。然后,我们展示了我们的方法如何改进CAMShift算法,尤其是在背景颜色相似的情况下。

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