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一种基于纹理模型的MeanShift目标跟踪算法*

, PP. 612-618

Keywords: 目标跟踪,局部二值模式(LBP),纹理模型,均值平移

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Abstract:

在MeanShift跟踪算法中,目标表示方法对跟踪性能有着重要影响.本文以局部二值模式(LBP)纹理模型作为研究对象,分析LBPri8,1的9种纹理模式所表示的图像特征,提出用LBPri8,1纹理模型中表示边界和角的5种基本模式表示目标的算法,称为FLBP8,1,并将FLBP8,1模式成功嵌入MeanShift算法进行目标跟踪.FLBP8,1有效结合目标的边界及其纹理特征,能够自动提取目标的关键模式点,利用少量的关键点准确表示目标,因此计算复杂度较低.实验结果表明,在复杂的条件下,本文方法比基于颜色的表示法在目标表示的准确性和跟踪性能上均有明显提高.

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