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Volume 18, Issue 3
  • ISSN: 2666-2558
  • E-ISSN: 2666-2566

Abstract

Introduction

In this study, we investigate human target detection techniques for infrared target recognition in complicated backdrops using deep learning approaches. This study uses the human target detection of infrared images in various scenes as its research object.

Methods

A test was conducted using MatlabR2010a and the real-time C language development platform. The findings indicate that, in the unoptimized case, the computing speed of the method was only 0.34 seconds. However, following optimization, its performance significantly increased to meet the real-time performance requirements.

Results

The research findings presented in this work will be crucial to the relief and rescue efforts following engineering mishaps.

Conclusion

This study is innovative in that it develops a deep learning-based model for human target detection in infrared photos and thoroughly examines and improves its functionality.

© 2025 Bentham Science Publishers
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2024-07-30
2025-09-06

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Infrared Image Human Target Detection Method Based on Deep Learning
Recent Advances in Computer Science and Communications 18, E300724232469 (2025); https://doi.org/10.2174/0126662558302531240725062845
/content/journals/rascs/10.2174/0126662558302531240725062845
/content/journals/rascs/10.2174/0126662558302531240725062845
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  • Article Type:     Research Article
Keyword(s): algorithms; deep learning; detection method; human target; Infrared image; infrared sensors

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