Image-free real-time target tracking by single-pixel detection
Image-free real-time target tracking by single-pixel detection
复制标题
DOI：
10.1364/oe.444500
复制
发表时间：
2022-01-17
期刊：
影响因子：
3.8
通讯作者：
Wu, Ling-An
中科院分区：
文献类型：
--
作者：
Yang, Zhao-Hua;Chen, Xiang;Wu, Ling-An
基于图像的目标跟踪方法依赖于连续的图像采集和后处理，导致跟踪效率较低。为了实现快速运动目标的实时跟踪，提出了一种基于离散余弦变换和单像素检测的无图像目标跟踪方法。我们的方法避免了计算所有的相位值，所以样本的数量可以大大减少。此外，应用互补调制来降低测量噪声，并且应用背景减除来增强对比度。仿真和实验结果表明，该方法可以在采样率小于Nyquist-Shannon准则的0.59%的情况下完成复杂背景下的跟踪任务，从而大大缩短了测量时间。在128 × 128像素的空间分辨率下，跟踪速度可达208 fps，跟踪误差不超过1个像素。该技术为快速运动目标的实时跟踪提供了一种新的思路。(C)2022光学出版集团根据光学开放获取出版协议的条款
Image-based target tracking methods rely on continuous image acquisition and post-processing, which will result in low tracking efficiency. To realize real-time tracking of fast moving objects, we propose an image-free target tracking scheme based on the discrete cosine transform and single-pixel detection. Our method avoids calculating all the phase values, so the number of samples can be greatly reduced. Furthermore, complementary modulation is applied to reduce the measurement noise, and background subtraction is applied to enhance the contrast. The results of simulations and experiments demonstrate that the proposed scheme can accomplish the tracking task in a complex background with a sampling ratio of less than 0.59% of the Nyquist-Shannon criterion, thereby significantly reducing the measurement time. The tracking speed can reach 208 fps at a spatial resolution of 128 x 128 pixels with a tracking error of no more than one pixel. This technique provides a new idea for real-time tracking of fast-moving targets. (C) 2022 Optics Publishing Group under the terms of the Optics Open Access Publishing Agreement