像素
计算机视觉
人工智能
帧速率
计算机科学
跟踪(教育)
图像分辨率
光学
流离失所(心理学)
图像质量
帧(网络)
数字微镜装置
物理
图像(数学)
心理学
电信
教育学
心理治疗师
作者
Jingjing Wu,Liang Hu,Jicheng Wang
出处
期刊:Optics Express
[The Optical Society]
日期:2021-12-07
卷期号:29 (26): 42589-42589
被引量:16
摘要
Because of the low temporal resolution, it is difficult to imaging a moving object using single-pixel imaging. In previous studies, either the frame rate is limited, or the speed and direction is limited to constant. In this work, a fast tracking and imaging method for moving objects is proposed. By using cake-cutting order Hadamard illumination patterns and the TVAL3 algorithm, low-resolution images of each frame are obtained. The displacement is calculated via the cross-correlation between the low-resolution images, and the illumination patterns are modified according to the location results. Finally, a high-quality object image is obtained. This scheme is suitable for moving object imaging with varying speeds and directions. The simulation and experimental results prove that for a 128 × 128 pixels scene, the location and imaging can be realized when 30 samplings are performed for each time interval. We experimentally demonstrate that the proposed method can image a moving object with variational speed with a resolution of 128 × 128 pixels at a frame rate of 150 fps by using a 9 kHz digital micromirror device. The proposed scheme can be used for three-dimensional and long-distance moving object imaging.
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