USING THE YOLOV3 METHOD ENHANCED THE QUALITY OF OBJECT DETECTING FOR SURVEILLANCE SYSTEM, PROTECTION OF THE ISLAND FACILITIES

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Authors

  • Chu Van Hoat (Corresponding Author) Institute of Military Technical Automation, Academy of Military Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.76.2021.137-143

Keywords:

Auto-detection; Security monitoring system; Yolov3.

Abstract

Improvement and modernization of the security surveillance system, protecting bases on the island is a vital duty to our military nowadays. Previously, machine learning methods have been used to construct object detectors, but the results of the experimental process in the ocean and islands did not meet the specified requirements, and the false detection rate was still high. In this paper, Yolov3 algorithm is proposed to automatically detect objects appearing in the surveillance area.

References

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Published

12-12-2021

How to Cite

Chu Văn Hoạt. “USING THE YOLOV3 METHOD ENHANCED THE QUALITY OF OBJECT DETECTING FOR SURVEILLANCE SYSTEM, PROTECTION OF THE ISLAND FACILITIES”. Journal of Military Science and Technology, no. 76, Dec. 2021, pp. 137-43, doi:10.54939/1859-1043.j.mst.76.2021.137-143.

Issue

Section

Research Articles