Exploiting Lightweight Statistical Learning for Event-Based Vision Processing

Exploiting Lightweight Statistical Learning for Event-Based Vision Processing

This paper presents a lightweight statistical learning framework potentially suitable for low-cost event-based vision systems, where visual information is captured by a dynamic vision sensor (DVS) and represented as an asynchronous stream of pixel addresses (events) indicating a relative intensity c...

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Bibliographic Details
Main Authors: Cong Shi, Jiajun Li, Ying Wang, Gang Luo
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Address-event representation (AER)
dynamic vision sensor (DVS)
random ferns
statistical learning
neuromorphic processing
Online Access:https://ieeexplore.ieee.org/document/8331087/

Internet

https://ieeexplore.ieee.org/document/8331087/

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