Vehicle Classification in Traffic Environments Using the Growing Neural Gas-Reference-Cited by-同舟云学术

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Vehicle Classification in Traffic Environments Using the Growing Neural Gas

Published:2017 Issue: Volume: Page:225-234
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
Short-container-title:

Author:

Molina-Cabello Miguel A.,Luque-Baena Rafael Marcos,López-Rubio Ezequiel,Ortiz-de-Lazcano-Lobato Juan Miguel,Domínguez Enrique,Pérez José Muñoz

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-59147-6_20

Reference17 articles.

1. Baumann, A., Boltz, M., Ebling, J., Koenig, M., Loos, H., Merkel, M., Niem, W., Warzelhan, J., Yu, J.: A review and comparison of measures for automatic video surveillance systems. EURASIP J. Image Video Process. 2008, 1–30 (2008)

2. Buch, N., Velastin, S., Orwell, J.: A review of computer vision techniques for the analysis of urban traffic. IEEE Trans. Intell. Transp. Syst. 12(3), 920–939 (2011)

3. Cheng, H.Y., Hsu, S.H.: Intelligent highway traffic surveillance with self-diagnosis abilities. IEEE Trans. Intell. Transp. Syst. 12(4), 1462–1472 (2011)

4. Crouzil, A., Khoudour, L., Valiere, P., Troung Cong, D.: Automatic vehicle counting system for traffic monitoring. J. Electron. Imag. 25(5), 051207 (2016)

5. Fink, O., Zio, E., Weidmann, U.: Novelty detection by multivariate kernel density estimation and growing neural gas algorithm. Mech. Syst. Sig. Process. 5051, 427–436 (2015)

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1. Automated detection of vehicles with anomalous trajectories in traffic surveillance videos;Integrated Computer-Aided Engineering;2023-05-10

2. Dynamic learning rates for continual unsupervised learning;Integrated Computer-Aided Engineering;2023-05-10

3. Anomalous Trajectory Detection for Automated Traffic Video Surveillance;Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence;2022

4. Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks;Applied Soft Computing;2021-12

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