C. P. Rizzo and C. D. Schuman and J. S. Plank

January, 2024

Published on arXiv.

https://arxiv.org/abs/2401.15212

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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.

Citation Information

Text

author         C. P. Rizzo and C. D. Schuman and J. S. Plank
title          Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
year           2024
eprint         2401.15212
archivePrefix arXiv
howpublished  https://arxiv.org/abs/2401.15212
url           https://arxiv.org/abs/2401.15212

Bibtex

@MISC{rsp:24:sbf,
    author = "C. P. Rizzo and C. D. Schuman and J. S. Plank",
    title = "Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing",
    year = "2024",
    eprint = "2401.15212",
    archivePrefix = "arXiv",
    howpublished = "https://arxiv.org/abs/2401.15212",
    url = "https://arxiv.org/abs/2401.15212"
}