A Novel Model Based on AdaBoost and Deep CNN for Vehicle Classification

A Novel Model Based on AdaBoost and Deep CNN for Vehicle Classification

Real-time vehicle classification is an important issue in intelligent transport systems. In this paper, we propose a novel model to classify five distinct groups of vehicle images from actual life based on AdaBoost algorithm and deep convolutional neural networks (CNNs). The experimental results dem...

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Bibliographic Details
Main Authors: Wei Chen, Qiang Sun, Jue Wang, Jing-Jing Dong, Chen Xu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Real time
vehicle classification
CNN
AdaBoost
SVM
Online Access:https://ieeexplore.ieee.org/document/8490660/

Internet

https://ieeexplore.ieee.org/document/8490660/

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