Performance evaluation of support vector machine and convolutional neural network algorithms in real-time vehicle type and color classification-Reference-Cited by-同舟云学术

Performance evaluation of support vector machine and convolutional neural network algorithms in real-time vehicle type and color classification

Published:2018-08-28 Issue:1 Volume:13 Page:83-91
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Şentaş Ali,Tashiev İsabek,Küçükayvaz Fatmanur,Kul Seda^ORCID,Eken Süleyman,Sayar Ahmet,Becerikli Yaşar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s12065-018-0167-z.pdf

Reference43 articles.

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3. Al-Sobkya AA, Mousa RM (2016) Traffic density determination and its applications using smartphone. Alex Eng J 55(1):513–523

4. Pelegri J, Alberola J, Llario V (2002) Vehicle detection and car speed monitoring system using GMR magnetic sensors. In: Proceedings of IEEE annual conference in the industrial electronics society, IEEE, Sevilla, pp. 1693–1695

5. Ryusuke K, Shigeyuki K, Tomoyuki N, Takashi A, Makoto A, Hisao O (2006) A punctilious detection method for measuring vehicles’ speeds. In: Proceedings of the international symposium on intelligent signal processing and communication system, IEEE, Tottori, pp. 967–970

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