Fast tracking and imaging of a moving object with single-pixel imaging

Abstract

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.