@inproceedings{1ec1fa5f37f74cb29836027c6b7d6d76,
title = "Architecture and Algorithm Co-Design Framework for Embedded Processors in Event-Based Cameras",
abstract = "Neuromorphic cameras that offer low latency and dynamic scene sensing are emerging as a viable technology for energy-aware embedded perceptual systems. In this paper we report on neuromorphic architecture and algorithm exploration for an event-based accelerator for neuromorphic cameras. The system includes a RISC-V CPU and associated peripherals that capture and process event-based visual data coming from a neuromorphic dynamic vision sensor. Mapped into a reconfigurable computing platform (FPGA), we demonstrate a set of event-based visual processing tasks including noise filtering, corner detection, and object tracking.",
keywords = "Visualization, Program processors, Neuromorphics, Heuristic algorithms, Computer architecture, Cameras, Object tracking",
author = "Sengupta, {Jonah P.} and Martin Villemur and Mendat, {Daniel R.} and Gaspar Tognetti and Andreou, {Andreas G.}",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 2021 IEEE International Symposium on Circuits and Systems (ISCAS) ; Conference date: 22-05-2021 Through 28-05-2021",
year = "2021",
month = may,
day = "28",
doi = "10.1109/ISCAS51556.2021.9401246",
language = "English",
isbn = "978-1-7281-9201-7",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "IEEE Computer Society",
pages = "1--5",
booktitle = "2021 IEEE International Symposium on Circuits and Systems (ISCAS)",
address = "United States",
}