Development of a real-time object-tracking system using Raspberry Pi

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Authors

  • Le Vu Nam (Corresponding Author) Institute of Technical Physics, Academy of Military Science and Technology
  • Khong Vu Liem Military Information Technology Institute, Academy of Military Science and Technology
  • Nguyen Van Thu Institute of Technical Physics, Academy of Military Science and Technology
  • Pham Dinh Quy Institute of Technical Physics, Academy of Military Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.90.2023.127-133

Keywords:

Object tracking; KCF; Raspberry Pi.

Abstract

Object tracking uses computerized algorithms to locate and track targets automatically without human intervention. Applying object-tracking technology to the observation mission will make it more effective and easier. An important requirement was that the tracker must be fast enough to meet the real-time requirements while still ensuring accuracy and stability. In addition, observation equipment usually uses compact hardware (such as embedded computers) and high-resolution cameras. In this paper, a Kernel Correlation Filter (KCF) based tracking algorithm is used with a Raspberry Pi 4B to track objects at sea. The experiment results show that the tracker works well and stably, and the tracking speed reaches 20 FPS with 1280×720 pixels of camera resolution.

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Published

25-10-2023

How to Cite

Lê, V. N., V. L. Khổng, V. T. Nguyễn, and Đình Q. Phạm. “Development of a Real-Time Object-Tracking System Using Raspberry Pi”. Journal of Military Science and Technology, vol. 90, no. 90, Oct. 2023, pp. 127-33, doi:10.54939/1859-1043.j.mst.90.2023.127-133.

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