A Neuromorphic System for Video Object Recognition

A Neuromorphic System for Video Object Recognition

Automated video object recognition is a topic of emerging importance in both defense and civilian applications. This work describes an accurate and low-power neuromorphic architecture and system for real-time automated video object recognition. Our system, Neuormorphic Visual Understanding of Scenes...

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Bibliographic Details
Main Authors: Deepak eKhosla, Yang eChen, Kyungnam eKim
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
Neuromorphic
bio-inspired
low-power
object detection
UAV
object classification
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00147/full

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