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arXiv · 2401.15212

Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing

Charles P. Rizzo·Catherine D. Schuman·James S. Plank
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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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Charles P. Rizzo, Catherine D. Schuman, James S. Plank. 2024-01-26. Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing. https://arxiv.org/abs/2401.15212

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