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Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
Published 26 Jan 2024 in cs.NE | (2401.15212v1)
Abstract: Spiking neural networks are powerful computational elements that pair well with event-based cameras (EBCs). In this work, we present two spiking neural network architectures that process events from EBCs: one that isolates and filters out events based on their speeds, and another that clusters events based on the DBSCAN algorithm.
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