Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914655506530304 |
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| author | Rizzo, Charles P. Schuman, Catherine D. Plank, James S. |
| author_facet | Rizzo, Charles P. Schuman, Catherine D. Plank, James S. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_15212 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing Rizzo, Charles P. Schuman, Catherine D. Plank, James S. Neural and Evolutionary Computing 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. |
| title | Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing |
| topic | Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2401.15212 |