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- W4385848369 abstract "Designing a novel Local Binary Pattern (LBP) process usually relies heavily on human experts' knowledge and experience in the area. Even experts are often left with tedious episodes of trial and error until they identify an optimal LBP for a particular dataset. To address this problem, we present a novel symbolic regression able to automatically discover LBP formulas to remove the moving parts of a scene by segmenting it into a background and a foreground. Experimental results conducted on real videos of outdoor urban scenes under various conditions show that the LBPs discovered by the proposed approach significantly outperform the previous state-of-the-art LBP descriptors both qualitatively and quantitatively. Our source code and data will be available online." @default.
- W4385848369 created "2023-08-16" @default.
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- W4385848369 date "2023-08-11" @default.
- W4385848369 modified "2023-09-27" @default.
- W4385848369 title "Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos" @default.
- W4385848369 doi "https://doi.org/10.48550/arxiv.2308.06305" @default.
- W4385848369 hasPublicationYear "2023" @default.
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