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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Hlavní autoři:	Wei Chen, Qiang Sun, Jue Wang, Jing-Jing Dong, Chen Xu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2018-01-01
Edice:	IEEE Access
Témata:	Real time vehicle classification CNN AdaBoost SVM
On-line přístup:	https://ieeexplore.ieee.org/document/8490660/
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