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An Image-Free Single-Pixel Detection System for Adaptive Multi-Target Tracking.

Yicheng Peng1, Jianing Yang2, Yuhao Feng1

  • 1School of Instrument Science and Opto-Electronic Engineering, Beijing Information Science and Technology University, Beijing 100192, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel single-pixel detection system for adaptive multi-target tracking. It achieves high-speed, robust tracking by combining geometric moments and exponentially weighted moving average (EWMA) for efficient target localization.

Keywords:
image-freemulti-target trackingsingle-pixel detection

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Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Robotics

Background:

  • Conventional vision sensors struggle with low update rates and robustness in dynamic environments.
  • Single-pixel tracking offers efficiency by directly acquiring target positions, avoiding full-image reconstruction.

Purpose of the Study:

  • To develop an adaptive multi-target tracking system using a single-pixel detection approach.
  • To enhance tracking stability and adapt to varying motion patterns in dynamic environments.

Main Methods:

  • Utilizes geometric moments for high-speed target localization (3N measurements for N targets).
  • Employs exponentially weighted moving average (EWMA) to adaptively update system parameters.
  • Leverages a digital micromirror device (DMD) for experimental validation.

Main Results:

  • Achieved a theoretical tracking update rate of 1984 Hz for three objects.
  • Demonstrated robust multi-target tracking with a normalized root mean square error (NRMSE) of 0.00785.
  • Validated system performance under high-resolution (1920 × 1080 pixels) conditions.

Conclusions:

  • The proposed single-pixel system offers a robust and adaptive solution for multi-target tracking.
  • Geometric moments and EWMA effectively address limitations of conventional vision sensors.
  • The system shows significant potential for practical applications requiring high-speed, stable tracking.