稳健的内核设计的SSD跟踪器

Yan Sun, Xi Chen, Qiyong Lu
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引用次数: 2

摘要

与mean-shift相比,基于ssd的目标跟踪表现出了更好的性能,许多人在此基础上进行了进一步的改进。然而,如何设计内核以更好地配合SSD度量和牛顿式迭代仍然没有解决。我们的工作是找出SSD内核设计的基本原理,使跟踪器对目标运动更敏感,使迭代具有更好的一步性能。我们还创建了一个名为“QPeak”的新内核来演示我们的定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust kernel design for SSD tracker
SSD-based object tracking has shown its improved performance compared with mean-shift and many people have made further improvements based on it. However, how kernels should be designed to better cooperate with SSD metric and Newton-style iteration remains unsolved. Our work is to find out the underlying principles for SSD kernel design, which can help make the tracker more sensitive to the object movement and make the iteration have better onestep performance. We also create a new kernel called “QPeak” to demonstrate our theorems.
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