Paper ID: 2401.15212

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

Charles P. Rizzo, Catherine D. Schuman, James S. Plank

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.

Submitted: Jan 26, 2024