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Updated: Aug 23, 2025

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Dual-pixel tracking of the fast-moving target based on window complementary modulation.

Sheng Fu, Fei Xing, Zheng You

    Optics Express
    |October 27, 2022
    PubMed
    Summary

    This study introduces an image-free target tracking system using a digital micromirror device (DMD). The novel system achieves high accuracy for fast-moving targets, overcoming limitations of traditional image-based methods.

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    Area of Science:

    • Optics and Photonics
    • Robotics and Control Systems
    • Signal Processing

    Background:

    • Image-based systems for real-time tracking of fast-moving targets face limitations due to high data throughput and computational demands.
    • Existing methods struggle to maintain accuracy and speed when dealing with rapid target motion.

    Purpose of the Study:

    • To propose and validate an image-free target tracking system leveraging a digital micromirror device (DMD).
    • To enhance tracking performance for fast-moving targets by minimizing data processing and computational load.

    Main Methods:

    • Integration of dual-pixel measurement and window complementary modulation techniques.
    • Implementation of an alternating interpolation Kalman filter to optimize DMD performance and system update rate.

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  • Development of an image-free approach to circumvent traditional image-based tracking constraints.

    • Main Results:

    • The proposed system achieves an accuracy of 0.1 pixels at a maximum update rate of 22.2 kHz.
    • Experimental validation demonstrates tracking accuracy within 0.3 pixels for targets moving at 2 × 10^4 pixels/s with a 22.2 kHz update rate.
    • The system effectively tracks fast-moving targets with varying velocities.

    Conclusions:

    • The developed image-free target tracking system offers a viable alternative to conventional image-based methods for high-speed applications.
    • The combination of DMD technology, advanced modulation, and filtering significantly improves tracking accuracy and update rates.
    • This approach provides a robust solution for real-time tracking of fast-moving targets in demanding environments.