一种基于区域的移动摄像机CAMShift跟踪方法

Mohamad Mahdi Kassir, M. Palhang
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引用次数: 11

摘要

CAMShift算法是一种快速、简单的基于颜色的跟踪算法,但由于被跟踪对象在与被跟踪对象颜色相似的背景区域中移动,其对摄像机运动的鲁棒性较差。已经提出了一些算法来减少这个问题。所有这些方法都为属于对象的像素分配一个概率。然而,在本文中,我们将概率分配给区域而不是像素。将概率分配给区域的算法比将概率分配给像素的算法更精确。本文提出了一种基于区域的CAMShift方法(RCAMShift)。我们首先演示了CAMShift的问题。然后我们展示了我们的方法如何改进CAMShift算法,特别是在背景中有相似颜色的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A region based CAMShift tracking with a moving camera
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.
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