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- W3204287179 abstract "The detection and counting of airport passengers and baggage is an important task of airport management. When passengers arrive at the aircraft docking area from the terminal building through a shuttle bus and boarding on foot, the counting of people and baggage based on airport surveillance video is often affected by complicated climate, Dynamic background, cast shadows and other factors, the paper improves the VIBE (Visual Background Extractor) foreground detection algorithm, adds a threshold adaptive mechanism, can accurately extract the foreground image under the dynamic background of the airport, and uses the pixel distribution histogram matching method to detect ghosts Finally, based on the Gaussian mixture model, the moving target is removed from the shadow, and the moving target is accurately counted on this basis. The experimental results show that the method proposed in the paper is better than the traditional shadow removal algorithm based on traditional VIBE in removing the shadow cast by passengers." @default.
- W3204287179 created "2021-10-11" @default.
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- W3204287179 date "2021-01-01" @default.
- W3204287179 modified "2023-09-23" @default.
- W3204287179 title "Improved VIBE Shadow Elimination Method with Adaptive Threshold in the Environment of Tarmac Monitoring" @default.
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- W3204287179 doi "https://doi.org/10.1007/978-3-030-87361-5_27" @default.
- W3204287179 hasPublicationYear "2021" @default.
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