Deep Learning Based on Parallel CNNs for Pedestrian Detection

Deep Learning Based on Parallel CNNs for Pedestrian Detection

Recently, deep learning methods, mostly algorithms based on Deep Convolutional Neural Networks (DCNNs) have yielded great results on pedestrian detection. Algorithms based on DCNNs spontaneously learn features in a supervised manner and are able to learn qualified high level feature representations...

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Bibliographic Details
Main Authors: Mahmoud Saeidi, Ali Ahmadi
Format: Article
Language:English
Published: Iran Telecom Research Center 2018-12-01
Series:International Journal of Information and Communication Technology Research
Subjects:
parallel dcnn
pedestrian detection
region-based convolutional neural network (rcnn)
single shot detector (ssd)
training approach.
Online Access:http://ijict.itrc.ac.ir/article-1-410-en.html

Internet

http://ijict.itrc.ac.ir/article-1-410-en.html

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