№2, 2019
SOFTWARE VIDEO DETECTOR FOR THE DETECTION, CLASSIFICATION AND COUNTING OF VEHICLES FROM CCTV CAMERAS
eve@chsu.ru, lnvinogradova@bk.ru, chevychelovmatt@gmail.com, andrey.wheer@gmail.com, egortech@live.ru, nyacat96@yandex.ru
The article describes approaches, methods and software implementation of algorithms for detection, classification and counting of vehicles based on convolutional neural networks of indepth learning (pp.42-48).
Keywords: convolutional neural networks, network input, frame, training, test, sample.
References
- Titov I.O. Contour Detection of Moving Image / I. O. Titov, G. M. Emelianov // Federal State Budgetary Educational Institution of Higher Education “Yaroslav-the-Wise Novgorod State University” bulletin, 2010, 27 p.
- Mikheeva T.N. Application of Neural Network Methods for Analyzing Spatial Data Proceedings of Seven International Research and Practical Conference St. Petersburg, Saint Petersburg State University of Architecture and Civil Engineering , 2006, pp.81–84.
- Barsky A.B. Path Choice in Step-by-step Alternative Routing in Wireless Telecommunication Network // World of Transport and Transportation, 2011, no.2. pp.4–11.
- Barsky A.B. Path Choice in Step-by-step Alternative Routing in Wireless Telecommunication // World of Transport and Transportation, 2011, no.3. pp.14–19.
- Yudin D. A. Recognition of Events on Images with Using Tweak of a Deep Neural Network // Optico-Electronic Devices and Devices in Recognition Systems Image,Image Processing and Symbol Information. Recognition - Digest of XIII International Sientific and Technical Conference, Kursk, 2017, pp.379–381.
- Goodfellow I. Deep Learning, DMK-press, 2018, 652 p.
- Graupe D. Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) / D. Graupe // Second Edition, World Scientific Pub CoInc, 2007, 238 p.
- Umiarov N.K. Logical and Physical Interpretation of the Convolutional Neural Network Architecture / II All-Ukrainian Scientific and Technical Conference of Students, Postgraduates and Young Scientists, 11–13 April 2011, Donetsk, 2011, pp.81–85.
- Unified, Real-Time Object Detection. URL: https://pjreddie.com/media/files/papers/
- Real-Time Object Detection. URL: https://pjreddie.com/darknet/yolo/
- Ershov E.V. Software Video Detector for the Detection, Classification and Counting of Vehicles from CCTV Cameras // Optoelectron Processor and Devices in Pattern Recognition System, Image Processing and Symbolic Information Systems. Identification / Digest of XIV International Sientific and Technical Conference, Kursk, 2018, pp.113–115.
- Jim-Shih L. Dynamic synapse for signal processing in neural networks, United States Patent. No.: US 6,643.627 B2. Nov. 4, 2003.
