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18 November 2024 Research on background update algorithms combined with semantic information in optical gas imaging technology
Feng Zhu, Zhengjie Xu, Xiaoxiao Xu, Chen Hang, Yongzhi Zhao, Fangxiao Cui, Anjing Wang
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Proceedings Volume 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024); 133980Y (2024) https://doi.org/10.1117/12.3049851
Event: Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 2024, Nanjing, China
Abstract
Optical gas imaging technology is crucial for gas detection and environmental monitoring. However, traditional background update algorithms, such as the Gaussian Mixture Model (GMM), often fail in dynamic scenes due to their reliance on image gray values and inability to handle moving objects like people and vehicles. This paper proposes an innovative approach that integrates semantic recognition models, such as YOLO-World, with traditional GMM methods to enhance background update processes. By employing infrared gas-detecting optical devices, the system mitigates background temperature variations and enhances gas image contrast. The YOLO-World model identifies and isolates moving objects, while optical flow techniques track their movement, allowing for rapid background replacement and reducing false alarms. Two outdoor experiments demonstrate the effectiveness of this approach: one involving methane release with human movement and another with both vehicles and humans in motion. The results show significant improvements in detection accuracy and reliability, paving the way for more efficient and robust gas leak detection systems in dynamic environments. This method not only reduces false alarm rates but also enhances the adaptability of gas detection systems to various real-world scenarios.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Feng Zhu, Zhengjie Xu, Xiaoxiao Xu, Chen Hang, Yongzhi Zhao, Fangxiao Cui, and Anjing Wang "Research on background update algorithms combined with semantic information in optical gas imaging technology", Proc. SPIE 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 133980Y (18 November 2024); https://doi.org/10.1117/12.3049851
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KEYWORDS
Semantics
Detection and tracking algorithms
Algorithm development
Motion detection
Optical flow
Infrared imaging
Infrared radiation
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