Automatic Moving Vehicle Detection and Classification Based on Artificial Neural Fuzzy Inference System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-018-5347-8/fulltext.html
Reference29 articles.
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3. Yu, S. H., Hsieh, J. W., Chen, Y. S., & Hu, W. F., (2003, June). An automatic traffic surveillance system for vehicle tracking and classification. In Scandinavian conference on image analysis (pp. 379–386). Berlin: Springer.
4. Hsieh, J. W., Yu, S. H., Chen, Y. S., & Hu, W. F. (2006). Automatic traffic surveillance system for vehicle tracking and classification. IEEE Transactions on Intelligent Transportation Systems, 7(2), 175–187.
5. Ozkurt, C., & Camci, F. (2009). Automatic traffic density estimation and vehicle classification for traffic surveillance systems using neural networks. Mathematical and Computational Applications, 14(3), 187–196.
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