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Fast-moving target tracking by dual-geometric moment detection |
| Chao Shen(申超)1, Xu-Ri Yao(姚旭日)1,2, Fan Liu(刘璠)3,†, and Shijian Li(李世剑)4,5,‡ |
1 Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements, School of Physics, Beijing Institute of Technology, Beijing 100081, China;
2 Center for Interdisciplinary Science of Optical Quantum and NEMS Integration, School of Physics, Beijing Institute of Technology, Beijing 100081, China;
3 Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;
4 College of Photonics and Optical Engineering, Aerospace Information Technology University, Jinan 250299, China;
5 Shandong Key Laboratory of Intelligent Photonic Transmission and Sensing, Jinan 250299, China |
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Abstract This paper presents a high-speed single-pixel tracking method that exceeds the modulation speed limit of the digital micromirror device (DMD) in conventional approaches. The proposed method adopts a polarization system to split the target image into two identical beams, which are modulated by two orthogonal steady-state geometric moment patterns and input into the dual channels of the DMD. This allows separate extraction of the target's $x$- and $y$-direction positional information without DMD pattern switching. The localization speed is no longer constrained by DMD switching but determined by high-speed single-pixel detectors. Experimental results demonstrate a localization speed of 450 kHz, achieving a one-order-of-magnitude improvement over traditional DMD-based methods.
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Received: 05 February 2026
Revised: 26 February 2026
Accepted manuscript online: 03 March 2026
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PACS:
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42.30.Va
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(Image forming and processing)
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42.30.Ms
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(Speckle and moiré patterns)
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| Fund: This work was supported by the National Natural Science Foundation of China (Grant No. 12504337) and Beijing Institute of Technology Research Fund Program for Young Scholars (Grant No. 202122012). |
Corresponding Authors:
Fan Liu, Shijian Li
E-mail: liufan@nssc.ac.cn;lishijian@aitech.edu.cn
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Cite this article:
Chao Shen(申超), Xu-Ri Yao(姚旭日), Fan Liu(刘璠), and Shijian Li(李世剑) Fast-moving target tracking by dual-geometric moment detection 2026 Chin. Phys. B 35 064205
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