跟踪(教育)
弹道
计算
计算机视觉
人工智能
探测器
视频跟踪
视野
帧速率
图像分辨率
跟踪系统
对象(语法)
帧(网络)
坐标系
领域(数学)
光学
计算机科学
面子(社会学概念)
目标检测
力矩(物理)
时间分辨率
计算复杂性理论
参考坐标系
运动估计
数字微镜装置
跟踪误差
运动(物理)
作者
Huan Zhang,Zonghao Liu,Mi Zhou,Zibang Zhang,Mu Ku Chen,Zihan Geng
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2024-05-20
卷期号:49 (13): 3628-3628
被引量:15
摘要
Real-time tracking and 3D trajectory computation of fast-moving objects is a promising technology, especially in the field of autonomous driving. However, existing image-based tracking methods face significant challenges when it comes to real-time tracking, primarily due to the limitation of storage space and computational resources. Here, we propose a novel approach that enables real-time 3D tracking of a fast-moving object without any prior motion information and at a very low computational cost. To enable 3D coordinate synthesis with a space-efficient optical setup, geometric moment patterns are projected on two non-orthogonal planes with a spatial resolution of 125 μm. Our experiment demonstrates an impressive tracking speed of 6667 frames per second (FPS) with a 20 kHz digital micromirror device (DMD), which is more than 200 times faster than the widely adopted video-based tracking methods. To the best of our knowledge, this is the highest tracking speed record in the field of single-pixel 3D trajectory tracking. This method promotes the development of real-time tracking techniques with single-pixel imaging (SPI).
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