Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications

Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications

Dynamic Vision Sensor (DVS) pixels produce an asynchronous variable-rate address-event output that represents brightness changes at the pixel. Since these sensors produce frame-free output, they are ideal for real-time dynamic vision applications with real-time latency and power system constraints....

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Bibliographic Details
Main Authors: Alejandro Linares-Barranco, Fernando Perez-Pena, Diederik Paul Moeys, Francisco Gomez-Rodriguez, Gabriel Jimenez-Moreno, Shih-Chii Liu, Tobi Delbruck
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Neuromorphic engineering
address-event-representation (AER)
dynamic vision
frame-free vision
event-based processing
event-based filters
Online Access:https://ieeexplore.ieee.org/document/8836544/

Internet

https://ieeexplore.ieee.org/document/8836544/

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