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Analyzing of Mean-Shift Algorithm in Extended Target Tracking Technology

机译:扩展目标跟踪技术中的均值漂移算法分析

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Target tracking technology is an important technology of modern techniques and an important project in computer vision area. Its development can force the development of the intelligence technique. Mean-shift algorithm is an important computational method, which adopts the features of anti-size change, anti-rotation change, and few manual intervention coefficients. This technology behaves very important role in modern target tracking area. Therefore, this article analyzes the algorithm from the aspect of practical engineering, point out the advantage and disadvantage of this algorithm by means of two sets tracking examples. The article also indicates the direct usages and it direction of development after modification of this algorithm.
机译:目标跟踪技术是现代技术的重要技术,是计算机视觉领域的重要项目。它的发展可以推动智能技术的发展。均值漂移算法是一种重要的计算方法,它具有抗尺寸变化,抗旋转变化和手动干预系数少的特点。该技术在现代目标跟踪领域中起着非常重要的作用。因此,本文从实际工程的角度分析了该算法,并通过两组跟踪实例指出了该算法的优缺点。本文还指出了该算法修改后的直接用法及其发展方向。

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