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23 October 2023 Evolving camouflage
Erik Van der Burg, Alexander Toet, Maarten Hogervorst
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Proceedings Volume 12736, Target and Background Signatures IX; 1273602 (2023) https://doi.org/10.1117/12.2679515
Event: SPIE Security + Defence, 2023, Amsterdam, Netherlands
Abstract
Using YOLO (a convolutional neural network) for camouflage evaluation in combination with a genetic algorithm (GA) we investigated what details and colours are important for visual camouflage of a soldier. Depending on the distance, details like the face and legs or the soldier’s silhouette appeared most important for detection. GA optimization yielded a set of optimal colours that depended on whether the evolution targeted a specific location or (average over a) scene, as the immediate background in a scene differs per location. We validated our results in a human observer experiment.
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Erik Van der Burg, Alexander Toet, and Maarten Hogervorst "Evolving camouflage", Proc. SPIE 12736, Target and Background Signatures IX, 1273602 (23 October 2023); https://doi.org/10.1117/12.2679515
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KEYWORDS
Camouflage
Bubbles
Soldiers
Convolutional neural networks
Genetic algorithms
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