Image recognition method for dangerous behavior of non-stop construction personnel in large airports

Zhenyu Zhao; Liangsui Geng

doi:10.1117/12.3014586

9 January 2024 Image recognition method for dangerous behavior of non-stop construction personnel in large airports

Zhenyu Zhao, Liangsui Geng

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 1296915 (2024) https://doi.org/10.1117/12.3014586
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

It is crucial to ensure the safety of personnel and prevent unauthorized intrusion in the non-stop construction area of large airports. This study proposes an image recognition method for dangerous behavior of non-stop construction personnel in large airports based on infrared imaging technology. Using infrared imaging technology to collect visual information of images of non-stop construction personnel in large airports, and analyzing images using structured similarity features; Based on supervised comparative learning, the method of extracting backbone features is adopted to achieve dynamic feature segmentation and reconstruction processing; Based on ambiguity analysis, extract the edge bounding contour features of personnel and identify dangerous intrusion behaviors of personnel. Through experimental verification, this method has high accuracy in detecting personnel's dangerous intrusion behavior.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenyu Zhao and Liangsui Geng "Image recognition method for dangerous behavior of non-stop construction personnel in large airports", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 1296915 (9 January 2024); https://doi.org/10.1117/12.3014586

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KEYWORDS

Infrared imaging

Visualization

Feature extraction

Image analysis

Contour extraction

Image segmentation

Image fusion

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