{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T15:38:27Z","timestamp":1777390707427,"version":"3.51.4"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003443","name":"Ministry of Education and Science of the Russian Federation","doi-asserted-by":"publisher","award":["2.1898.2017\/4.6"],"award-info":[{"award-number":["2.1898.2017\/4.6"]}],"id":[{"id":"10.13039\/501100003443","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s00521-020-05170-5","type":"journal-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T01:02:36Z","timestamp":1594170156000},"page":"3069-3083","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8718-6343","authenticated-orcid":false,"given":"Oleg Semenovich","family":"Amosov","sequence":"first","affiliation":[]},{"given":"Svetlana Gennadievna","family":"Amosova","sequence":"additional","affiliation":[]},{"given":"Yuriy Sergeevich","family":"Ivanov","sequence":"additional","affiliation":[]},{"given":"Sergey Victorovich","family":"Zhiganov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"key":"5170_CR1","doi-asserted-by":"crossref","unstructured":"Aarathi KS, Abraham A (2017) Vehicle color recognition using deep learning for hazy images. In: ICICCT, pp 335\u2013339","DOI":"10.1109\/ICICCT.2017.7975215"},{"key":"5170_CR2","unstructured":"Nsaif Al-Mayyahi M. Hazim N, Aboalmaaly M (2018) Vehicle detection and license plate recognition system. Int J Eng Technol(UAE). 7. 3170-3174. 10.14419\/ijet.v7i4.19154. (2018)"},{"key":"5170_CR3","first-page":"1915","volume":"20","author":"N Boonsim","year":"2016","unstructured":"Boonsim N, Prakoonwit S (2016) Car make and model recognition under limited lighting conditions at night. Pattern Anal Appl 20:1915\u20131207","journal-title":"Pattern Anal Appl"},{"key":"5170_CR4","doi-asserted-by":"crossref","unstructured":"Cire\u015fan 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\u20133649","DOI":"10.1109\/CVPR.2012.6248110"},{"issue":"1","key":"5170_CR5","doi-asserted-by":"publisher","first-page":"46","DOI":"10.18287\/2412-6179-2017-41-1-46-58","volume":"41","author":"OS Amosov","year":"2017","unstructured":"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\u201358","journal-title":"Comput Opt"},{"issue":"2","key":"5170_CR6","first-page":"252","volume":"34","author":"OP Soldatova","year":"2010","unstructured":"Soldatova OP, Garshin AA (2010) The application of a convolutional neural network for recognition of handwritten figures. Comput Opt 34(2):252\u2013259","journal-title":"Comput Opt"},{"key":"5170_CR7","unstructured":"Lajish VL, Sunil KK (2015) Mobile phone based vehicle license plate recognition for road policing. arXiv preprint. arXiv:1504.01476"},{"key":"5170_CR8","doi-asserted-by":"publisher","first-page":"3015","DOI":"10.3390\/s19133015","volume":"19","author":"F Ullah","year":"2019","unstructured":"Ullah F, Anwar H, Shahzadi I, Rehman A, Mehmood S, Niaz S, Awan KK, Ajmal Kwak Daehan (2019) Barrier access control using sensors platform and vehicle license plate characters recognition. Sensors. 19:3015. https:\/\/doi.org\/10.3390\/s19133015","journal-title":"Sensors."},{"key":"5170_CR9","unstructured":"Hui L, Chunhua S (2016) Reading car license plates using deep convolutional neural networks and LSTMs. arXiv preprint arXiv:1601.05610"},{"key":"5170_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04486-1","author":"LY Hao","year":"2019","unstructured":"Hao LY, Li J, Guo G (2019) A multi-target corner pooling-based neural network for vehicle detection. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04486-1","journal-title":"Neural Comput Appl"},{"key":"5170_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04018-x","author":"X Du","year":"2019","unstructured":"Du X (2019) Complex environment image recognition algorithm based on GANs and transfer learning. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04018-x","journal-title":"Neural Comput Appl"},{"key":"5170_CR12","unstructured":"Masood SZ, Guang S, Dehghan A, Ortiz EG (2016) License plate detection and recognition using deeply learned convolutional neural networks. arXiv preprint arXiv:1703.07330"},{"key":"5170_CR13","unstructured":"Plate recognizer https:\/\/platerecognizer.com\/ Accessed 30 Nov (2019)"},{"key":"5170_CR14","unstructured":"Automatic License Plate Recognition https:\/\/www.openalpr.com\/index.html Accessed 30 Nov (2019)"},{"key":"5170_CR15","unstructured":"Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) MobileNets: Efficient convolutional neural networks for mobile vision. arXiv preprint arXiv:1704.04861"},{"key":"5170_CR16","doi-asserted-by":"crossref","unstructured":"Verma A, Hebbalaguppe R, Vig L, Kumar S, Hassan E (2015) Pedestrian detection via mixture of CNN experts and thresholded aggregated channel features. In: Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop. pp 555\u2013563","DOI":"10.1109\/ICCVW.2015.78"},{"key":"5170_CR17","doi-asserted-by":"crossref","unstructured":"Amosov OS, Baena SG, Ivanov YS, Soe H (2017) Roadway gate automatic control system with the use of fuzzy inference and computer vision technologies. In: The 12th IEEE conference on industrial electronics and applications, pp 706\u2013711","DOI":"10.1109\/ICIEA.2017.8282932"},{"key":"5170_CR18","unstructured":"Amosov OS, Amosova SG, Ivanov YS (2018) Intelligent access monitoring and control system of physical person. In: 2018 IEEE XXI international conference on soft computing and measurements (SCM), pp 352\u2013355"},{"key":"5170_CR19","unstructured":"Amosov OS (2004) Neural network and fuzzy methods for estimating stochastic systems, p 352. Komsomolsk-on-Amur: Doctor\u2019s thesis"},{"key":"5170_CR20","unstructured":"Binary classification performances measure cheat sheet https:\/\/kaggle2.blob.core.windows.net\/ Accessed 20 Dec (2017)"},{"key":"5170_CR21","doi-asserted-by":"crossref","unstructured":"Redmon J, Divvala SK, Girshick RB, Farhadi A (2015) You only look once: unified, real-time object detection. arXiv preprint. arXiv:1506.02640v4","DOI":"10.1109\/CVPR.2016.91"},{"key":"5170_CR22","doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2014) Going deeper with convolutions. Technical Report. arXiv preprint. arXiv:1704.04861","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"5170_CR23","unstructured":"Intersection over Union (IoU) for object detection https:\/\/www.pyimagesearch.com\/. Accessed 20 Nov (2017)"},{"issue":"2","key":"5170_CR24","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s11263-005-6644-8","volume":"63","author":"PJ Viola","year":"2005","unstructured":"Viola PJ, Snow D (2005) Detecting pedestrians using patterns of motion and appearance. Int J Comput Vis 63(2):153\u2013161","journal-title":"Int J Comput Vis"},{"key":"5170_CR25","unstructured":"OpenCV (Open Source Computer Vision Library). https:\/\/github.com\/opencv\/opencv. Accessed 15 Sept (2017)"},{"key":"5170_CR26","doi-asserted-by":"crossref","unstructured":"Yadav G, Maheshwari S, Agarwal A (2014) Contrast limited adaptive histogram equalization based enhancement for real time video system. In: ICACCI, pp 2392\u20132397","DOI":"10.1109\/ICACCI.2014.6968381"},{"key":"5170_CR27","doi-asserted-by":"crossref","unstructured":"Matas J, Chum O, Urban M, Pajdla T (2002) Robust wide baseline stereo from maximally stable extremal regions. In: Proceedings of of British machine vision conference, pp 384\u2013396","DOI":"10.5244\/C.16.36"},{"key":"5170_CR28","unstructured":"Simonyan K, Zisserman A Very deep convolutional networks for large-scale image recognition. arXiv preprint. arxiv:1409.1556"},{"key":"5170_CR29","unstructured":"Keras: the Python Deep Learning library https:\/\/keras.io. Accessed 31 Sept (2017)"},{"key":"5170_CR30","doi-asserted-by":"crossref","unstructured":"Siam M, Gamal M, Abdel-Razek M, Yogamani S, Jagersand M (2018) RTSeg: Real-time semantic segmentation comparative study. arXiv preprint. arXiv:1803.02758","DOI":"10.1109\/ICIP.2018.8451495"},{"key":"5170_CR31","unstructured":"ImageNet http:\/\/www.image-net.org\/. Accessed 15 Dec (2017)"},{"key":"5170_CR32","unstructured":"Yosinski J, Clune J, Bengio Y, Lipson H (2014) How transferable are features in deep neural networks? arXiv preprint. arxiv:1411.1792"},{"key":"5170_CR33","unstructured":"Hinton G, Srivastava N, Swersky K (2017) Lecture 6a overview of mini-batch gradient descent. http:\/\/www.cs.toronto.edu\/ (2012) Accessed 30 Sept"},{"key":"5170_CR34","unstructured":"AMCS Komsomolsk-na-Amure State University Access System https:\/\/github.com\/IdentySergey\/ncaa-app. Accessed 30 Nov (2019)"},{"key":"5170_CR35","unstructured":"AMCS Komsomolsk-na-Amure State University dataset http:\/\/evernow.ru\/acs.zip. Accessed 30 Jan (2018)"},{"key":"5170_CR36","unstructured":"Tesseract OCR https:\/\/github.com\/tesseract-ocr\/tesseract. Accessed 10 Sept (2017)"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05170-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05170-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05170-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T23:08:11Z","timestamp":1625699291000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05170-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,8]]},"references-count":36,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["5170"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05170-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,8]]},"assertion":[{"value":"9 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}