Abstract
Tracking and imaging a moving target via single-pixel imaging requires completion within a short period. Therefore, a low sampling rate is necessary to prevent imaging failure. This paper proposes a method utilizing time-division multiplexing ghost imaging, employing geometric moment patterns and Fourier fringe patterns to obtain real-time target trajectories and Fourier coefficient slices of the scene. After calculating the target’s displacement relative to the initial moment, we perform motion compensation on the slices to gradually estimate the size of the target. The method has been validated as effective and adaptive through optical experiments, requiring only a small amount of sampling relative to the image resolution. Our approach can achieve real-time tracking and estimate the region occupied by the object in the scene and the centroid position relative to the object. It considers the sparsity of objects in space, offering a promising solution for future low-sampling-rate and high-resolution single-pixel imaging of a moving target.
Published Version
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