Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles-Reference-Cited by-同舟云学术

Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles

Published:2020-07-08 Issue:8 Volume:33 Page:3069-3083
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Amosov Oleg Semenovich^ORCID,Amosova Svetlana Gennadievna,Ivanov Yuriy Sergeevich,Zhiganov Sergey Victorovich

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-05170-5.pdf

Reference36 articles.

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3. Boonsim N, Prakoonwit S (2016) Car make and model recognition under limited lighting conditions at night. Pattern Anal Appl 20:1915–1207

4. Cireşan D, Meier U, Schmidhuber J (2012) Multi-column deep neural networks for image. In: Proceedings of IEEE conference on computer vision and pattern recognition, pp 3642–3649

5. Amosov OS, Ivanov YS, Zhiganov SV (2017) Human localization in the frame of the video stream using an algorithm based on growing neural gas and fuzzy inference. Comput Opt 41(1):46–58

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