Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors

Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors

Neuromorphic vision sensors are bio-inspired cameras that naturally capture the dynamics of a scene with ultra-low latency, filtering out redundant information with low power consumption. Few works are addressing the object detection with this sensor. In this work, we propose to develop pedestrian d...

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Bibliographic Details
Main Authors: Guang Chen, Hu Cao, Canbo Ye, Zhenyan Zhang, Xingbo Liu, Xuhui Mo, Zhongnan Qu, Jörg Conradt, Florian Röhrbein, Alois Knoll
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Neurorobotics
Subjects:
neuromorphic vision sensor
event-stream encoding
object detection
convolutional neural network
multi-Cue event information fusion
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2019.00010/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2019.00010/full

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