Abstract. Tracking objects with the scale variations quickly is a challenging problem in visual tracking. Most existing methods estimate the scale of the object with an exhaustive search strategy, which needs large calculations but with less improvement. We propose to use twofold weighted phase correlation with the kernel (WPCK) to simultaneously estimate the translation and scale for the object during tracking. Besides, from the linear phase correlation, a weighted kernel phase correlator is first introduced to improve tracking performance. It extends the filter into a nonlinear space, which is more robust to signal noises and distortions. To efficiently locate the object in a large three-dimensional space for real-time running, we formulate tracking problem into two independent subproblems: the translation offset and scale offset. The mechanism is: through the log-polar transform of the amplitude spectrum, the scale estimation can be performed with phase correlation, which is also utilized to solve the translation offset. Thus, the accurate object status can be achieved effectively by twofold WPCK. Extensive experimental results on OTB2013, OTB100, and UAV123 datasets reveal that the proposed method has superior performance gains over several state-of-the-art trackers in terms of accuracy, robustness, and speed.

中文翻译：

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通过与内核的双重加权相位相关的鲁棒尺度变化对象跟踪

摘要。快速跟踪具有尺度变化的对象是视觉跟踪中的一个具有挑战性的问题。大多数现有方法使用详尽的搜索策略来估计对象的规模，这需要大量计算但改进较少。我们建议使用与内核 (WPCK) 的双重加权相位相关来同时估计跟踪过程中对象的平移和尺度。此外，从线性相位相关性出发，首先引入加权核相位相关器以提高跟踪性能。它将滤波器扩展到非线性空间，对信号噪声和失真更加鲁棒。为了有效地在大的三维空间中实时定位目标，我们将跟踪问题表述为两个独立的子问题：平移偏移和尺度偏移。其机制是：通过幅度谱的对数极坐标变换，可以进行具有相位相关性的尺度估计，也用于解决平移偏移。因此，双重WPCK可以有效地实现准确的对象状态。在 OTB2013、OTB100 和 UAV123 数据集上的大量实验结果表明，所提出的方法在准确性、鲁棒性和速度方面比几个最先进的跟踪器具有更好的性能提升。