The intelligent dual-resolution camera can provide large imaging field and high-resolution for the parts in which we are interested simultaneously. It has important applications in visual tracking. Though many trackers show great robustness on recent benchmarks, few of them make high precision and run in real-time, which is harmful to practical applications. In this paper, we propose a fast and sub-pixel precision tracker. It uses the time-shift property of Fourier transform to convert the displacement of target in space domain into the period of the response in Fourier domain. Then an improved Hough transform is introduced to measure this period, so that the displacement with sub-pixel precision can be calculated. Furthermore, a method obtaining benchmarks utilizing the intelligent dual-resolution camera is proposed to verify the high-precision of our tracker. Many experiments have been done to compare the proposed tracker with some state-of-the-art sub-pixel precision trackers, and the results have shown that the proposed tracker outperform the best tracker by 15.4% in average median distance precision, while feasible for real-time tracking with the speed faster than 80 fps. What’s more, the proposed tracker have been evaluated on the dual-resolution camera, the results show that it can make the observation of targets in the high-resolution image more complete.

中文翻译：

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面向智能双分辨率相机的快速亚像素精度目标跟踪算法

智能双分辨率相机可以同时为我们感兴趣的零件提供大成像场和高分辨率。它在视觉跟踪方面有着重要的应用。尽管许多跟踪器在最近的基准测试中表现出很强的鲁棒性，但很少有人能够做到高精度和实时运行，这对实际应用是有害的。在本文中，我们提出了一种快速的亚像素精度跟踪器。它利用傅里叶变换的时移特性，将空间域中目标的位移转换为傅里叶域中响应的周期。然后引入改进的霍夫变换来测量这个周期，从而可以计算出亚像素精度的位移。此外，提出了一种利用智能双分辨率相机获得基准的方法来验证我们的跟踪器的高精度。已经进行了许多实验来将所提出的跟踪器与一些最先进的子像素精度跟踪器进行比较，结果表明所提出的跟踪器在平均中位距离精度上比最佳跟踪器高 15.4%，同时对于速度快于80 fps的实时跟踪。更重要的是，所提出的跟踪器已经在双分辨率相机上进行了评估，结果表明它可以使高分辨率图像中的目标观察更加完整。结果表明，所提出的跟踪器在平均中值距离精度上优于最佳跟踪器 15.4%，同时适用于速度超过 80 fps 的实时跟踪。更重要的是，所提出的跟踪器已经在双分辨率相机上进行了评估，结果表明它可以使高分辨率图像中的目标观察更加完整。结果表明，所提出的跟踪器在平均中位距离精度上优于最佳跟踪器 15.4%，同时适用于速度超过 80 fps 的实时跟踪。更重要的是，所提出的跟踪器已经在双分辨率相机上进行了评估，结果表明它可以使高分辨率图像中的目标观察更加完整。