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Implementation of weightless neural networks on GPU for background subtraction
Project Type
R&D project
Implemented a CUDA-based unsupervised (RL) weightless neural network using computer RAM as neurons for background subtraction, accurately detecting moving shapes in challenging conditions like snowfall, moving camera, rain, and camouflage.


















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