MEAN SHIFT 目标跟踪

针对传统均值漂移算法无法对对比度低、尺度变化的红外目标进行有效跟踪的问题, 提出一种改进MeanShift 算法. 首先融合灰度和纹理两方面的信息, 并分别定义背景灰度和纹理加权系数, 实现了目标的准确定位; 然后,提出一种基于背景和前景目标相似度的核窗宽选取算法, 自动选取窗口缩放比例, 得到与目标尺度一致的跟踪窗口.  

面目标（小飞机）TM方法跟踪
references
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