Adaptive Human Interaction Detection Algorithm for Oilfield Security System
Pages 259 - 263
Abstract
This paper proposes an adaptive human interaction detection algorithm based on the Vision Transformer structure and domain adaptive algorithm for the security system in oil fields. The algorithm extracts features of individuals in the image using the Vision Transformer structure and adapts to different oil field scenes using domain adaptive algorithm. Experimental results show that the proposed algorithm has high accuracy and robustness in the application of security systems in oil fields.
References
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Wan, B., Zhou, D., Liu, Y., Li, R., & He, X. (2019). Pose-aware multi-level feature network for human object interaction detection. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 9469-9478).
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Published In
December 2023
563 pages
ISBN:9798400708688
DOI:10.1145/3638584
Copyright © 2023 ACM.
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Published: 14 March 2024
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CSAI 2023
CSAI 2023: 2023 7th International Conference on Computer Science and Artificial Intelligence
December 8 - 10, 2023
Beijing, China
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