Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City-Reference-Cited by-同舟云学术

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Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City

Published:2022 Issue: Volume: Page:1015-1030
ISSN:2367-3370
Container-title:Communication and Intelligent Systems
language:
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Author:

Mane Deepak,Bidwe Ranjeet,Zope Bhusan,Ranjan Nihar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2130-8_78

Reference38 articles.

1. Dong Z, Wu Y, Pei M, Jia Y (2015) Vehicle type classification using a semisupervised convolutional neural network. IEEE Trans Intell Transp Syst 16:2247–2256

2. Thubsaeng W, Kawewong A, Patanukhom K (2014) Vehicle logo detection using convolutional neural network and pyramid of histogram of oriented gradients. In: 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), pp 34–39

3. Yim J, Ju J, Jung H, Kim J (2015) Image classification using convolutional neural networks with multi-stage feature. In: Kim JH, Yang W, Jo J, Sincak P, Myung H (Eds) Robot intelligence technology and applications 3. Advances in Intelligent Systems and Computing, vol 345. Springer, Cham

4. Xiao T, Zhang J, Yang K, Peng Y, Zhang Z (2014) Error-driven incremental learning in deep convolutional neural network for large-scale image classification. In: proceedings of the 22nd ACM international conference on Multimedia

5. Hafemann LG, Oliveira LE, Cavalin PR (2014) Forest species recognition using deep convolutional neural networks. In: 22nd International Conference on Pattern Recognition, 1103–1107

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