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- W4225973710 abstract "Inland waterway, especially mountainous waterway channel, has the characteristics of rapid current, different width of river and large change of water level, which brings great risks to the navigation of ships. Once the persons fall into the water, it is difficult to search and rescue. This study aimed at developing a rapid drowning person recognition method, which establishes a deep learning architecture for infrared and visible image fusion. Compared with the traditional convolution network, the coding network is combined with convolution layer, fusion layer and dense block, in which the outputs of each layer are connected with each other, which can be used to obtain more useful features from the source image in the coding process. The target detection experiment of drowning personnel is carried out in the Lancang River. The results show that the method can accurately identify the target under the conditions of insufficient illumination and fast-moving speed, and the recognition rate is 90%." @default.
- W4225973710 created "2022-05-05" @default.
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- W4225973710 date "2022-01-01" @default.
- W4225973710 modified "2023-09-26" @default.
- W4225973710 title "Drowning Person Target Intelligent Recognition Method Based on Fusion of Visible Light and Infrared Thermal Imaging" @default.
- W4225973710 doi "https://doi.org/10.1007/978-981-16-7258-3_29" @default.
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