CLIENT-SERVER SYSTEM FOR PARKING MANAGEMENT BASED ON VIDEO SURVEILLANCE DATA ANALYSIS
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Abstract
A web-based system for monitoring and managing parking lots based on analysis of images from surveillance cameras is presented. An approach has been developed for segmentation of parking spaces, that allows you to automatically determine the coordinates of parking spaces in the image using the Otsu adaptive binarization algorithm and the Hough transform algorithm for linking lines. The classification of parking spaces by occupancy type is performed using the convolutional neural network ResNet50. The features of the implementation of the server part are given, the developed class diagram and their main purpose are described. The client part of the system is a website that can be accessed using a personal computer or mobile device. Examples for main software functionality are shown.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
R. BOHUSH, Polotsk State University
канд. техн. наук, доц.
References
Duan, L. , Lou, Y., Wang, S., Gao, W., & Rui, Y. (2019). AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond. IEEE MultiMedia, (26), 8–20. DOI: 10.1109/MMUL.2018.2873564.
Khan, P. W., Byun, Y.-C., & Park, N. (2020). A Data Verification System for CCTV Surveillance Cameras Using Blockchain Technology in Smart Cities. Electronics, 9(3), 1–21. DOI: 10.3390/electronics9030484.
Tian, L., Wang, H., Zhou, Y., & Peng, C. (2018). Video big data in smart city: Background construction and optimization for surveillance video processing. Future Generation Computer Systems, (86), 1371–1382. DOI: 10.1016/j.future.2017.12.065.
Novotny, R., Kuchta, R., & Kadlec, J. (2014). Smart city concept, applications and services. Journal of Telecommunications System & Management, (3), 1–8. DOI: 10.4172/2167-0919.1000117.
Bohush, R. P., Ablameyko, S. V., & Yarashevich, P. V. (2018). Struktura intellektual'noy videosistemy upravleniya parkovkami. Informatsionno-kommunikatsionnyye tekhnologii: dostizheniya, problemy, innovatsii (IKT-2018) (254–256). Novopolotsk: PGU. https://elib.psu.by/bitstream/123456789/22255/5/%d0%91%d0%be%d0%b3%d1%83%d1%88_%d1%81254-256.pdf. (In Russ.).
Bohush, R., Yarashevich, P., Ablameyko, S., & Kalganova, T. (2018). Extraction of Image Parking Spaces in Intelligent Video Surveillance Systems. Machine Graphics & Vision, (27), 47–62. DOI: 10.22630/MGV.2018.27.1.3.