Design of Airport Bird Detection Algorithm

Aiming at the problem of airport bird detection, a four frame symmetrical difference method based on edge feature extraction is proposed in this paper. In view of the limitations of the traditional algorithm in the detection of “low, slow and small” airport bird targets, this method realizes the accurate detection of bird targets through Canny edge detection, four frame symmetrical differential operation, morphological processing and connected domain analysis. Experiments show that the detection accuracy of the algorithm is higher than that of the background subtraction method and the inter frame difference method, which provides effective technical support for airport flight safety.

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Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/eicct65471.2025.11099659
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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article

Design of Airport Bird Detection Algorithm

Qimei Ma, Qixing Chen, Ju Cai
Advanced Measurement and Detection Methods
article

Design of Airport Bird Detection Algorithm

Qimei Ma, Qixing Chen, Ju Cai
article en

Abstract

Aiming at the problem of airport bird detection, a four frame symmetrical difference method based on edge feature extraction is proposed in this paper. In view of the limitations of the traditional algorithm in the detection of “low, slow and small” airport bird targets, this method realizes the accurate detection of bird targets through Canny edge detection, four frame symmetrical differential operation, morphological processing and connected domain analysis. Experiments show that the detection accuracy of the algorithm is higher than that of the background subtraction method and the inter frame difference method, which provides effective technical support for airport flight safety.

Chengdu University of Information Technology (CN)
Openalex Percentile: Top 82%
Advanced Measurement and Detection Methods
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