Multi‐layer fusion techniques using a CNN for multispectral pedestrian detection

Multi‐layer fusion techniques using a CNN for multispectral pedestrian detection

In this study, a novel multi‐layer fused convolution neural network (MLF‐CNN) is proposed for detecting pedestrians under adverse illumination conditions. Currently, most existing pedestrian detectors are very likely to be stuck under adverse illumination circumstances such as shadows, overexposure,...

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Bibliographic Details
Main Authors: Yunfan Chen, Han Xie, Hyunchul Shin
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:IET Computer Vision
Subjects:
multilayer fusion techniques
CNN
multispectral pedestrian detection
multilayer fused convolution neural network
pedestrian detectors
adverse illumination circumstances
Online Access:https://doi.org/10.1049/iet-cvi.2018.5315

Internet

https://doi.org/10.1049/iet-cvi.2018.5315

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