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Infrared target tracking with Adaptive Bandwidth Mean Shift

机译:自适应带宽均值偏移的红外目标跟踪

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摘要

Tracking objects in image sequence using Mean Shift algorithm has attracted considerable attention.In the paper,an improved Mean Shift tracking algorithm for infrared target of dynamic scale is proposed.In order to reduce the localization errors of infrared targets tracking and suppress the background interference,the proposed method computes the weighted coefficients of the background pixels around the target and represents the model and the candidate in terms of background weighted histogram and color histogram,respectively.
机译:利用均值漂移算法跟踪图像序列中的物体引起了广泛的关注。本文提出了一种改进的动态尺度红外目标均值漂移跟踪算法。为减少红外目标跟踪的定位误差并抑制背景干扰,该方法计算目标周围背景像素的加权系数,分别以背景加权直方图和颜色直方图分别表示模型和候选对象。

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