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7
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均值漂移算法meanshiftTrack 一、实验内容 完成基于 MeanShift 的目标跟踪算法,红框标出目标区域实现实时追踪。 二、算法原理 1.在当前帧,计算候选目标的特征 2.计算候选目标与初始目标的相似度 3.计算权值 4.利用 MeanShift 算法,计算目标新位置 在这里插入图片描述 5.若新目标中心需位于原目标中心附近,则停止,否则转步骤 2 三、思路流程 截取跟踪目标矩阵rect; 求取跟踪目标的加权直方图hist1; 读取视频序列中的一帧, 先随机取一块与rect等大的矩形,计算加权直方图hist2; 计算两者比重函数,如果后者差距过大, 更新新的矩阵中心Y,进行迭代(MeanShift是一种变步长可以迅速接近概率密度峰值的方法),直至一定条件(移动步长平方和大于0.5或超过20次迭代)后停止。
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均值漂移算法meanshiftTrack实验样本、源码与效果图.zip (1896个子文件)
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