Development of a Video Surveillance System for Motion Detection and Object Recognition

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dc.citation.epage56
dc.citation.issue1
dc.citation.spage50
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorLys, Ruslan
dc.contributor.authorOpotyak, Yu. V.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2024-02-13T09:56:56Z
dc.date.available2024-02-13T09:56:56Z
dc.date.created2023-02-28
dc.date.issued2023-02-28
dc.description.abstractThis article explores the development of a video surveillance system that utilizes cuttingedge technology to analyze the video stream in real-time, identify motion, and recognize objects within the video stream. The functionality of this system enables it to provide a high level of accuracy in identifying objects, even in low-light conditions or with low-resolution cameras. The software system has been designed as a userfriendly desktop application with the latest technologies and features that will ensure its relevance and easy maintenance in the future. To ensure that the developed desktop application meets common optimization requirements, extensive testing has been conducted to evaluate its resource usage. The resulting system is an efficient and reliable tool for monitoring and detecting movement in various locations, providing enhanced security measures and public safety.
dc.format.extent50-56
dc.format.pages7
dc.identifier.citationLys R. Development of a Video Surveillance System for Motion Detection and Object Recognition / Ruslan Lys, Yu. V. Opotyak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 8. — No 1. — P. 50–56.
dc.identifier.citationenLys R. Development of a Video Surveillance System for Motion Detection and Object Recognition / Ruslan Lys, Yu. V. Opotyak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 8. — No 1. — P. 50–56.
dc.identifier.doidoi.org/10.23939/acps2023.01.050
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61328
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 1 (8), 2023
dc.relation.referencesM. Gong, Y. Shu, (2020). "Real-Time Detection and Motion Recognition of Human Moving Objects Based on Deep Learning and Multi-Scale Feature Fusion in Video," in IEEE Access, vol. 8, pp. 25811–25822, DOI: 10.1109/ACCESS.2020.2971283
dc.relation.referencesC. Zhaoyang, G. Haolin, W. Kun, (2020). "A motion based object detection method," 2020 2nd International Conference on Information Technology and Computer Application (ITCA), Guangzhou, China, pp. 280–283, DOI: 10.1109/ITCA52113.2020.00067.
dc.relation.referencesS. Parveen, J. Shah, (2021). "A Motion Detection System in Python and Opencv," 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, pp. 1378– 1382, DOI: 10.1109/ICICV50876.2021.9388404.
dc.relation.referencesX. Wang, L. Zhang, (2021). "Light Weight Passive Hu- man Motion Detection with WiFi," 2021 6th Interna- tional Conference on Intelligent Computing and Signal Processing (ICSP), Xi'an, China, pp. 1310–1315, DOI: 10.1109/ICSP51882.2021.9408952.
dc.relation.referencesI. M. Hazri, M. Sahrim, W. Z. Wan Ismail, I. Ismail, S.A. Rahman, F. S. Hussin, (2020). "Automated Motion Detection Security System Notifier using Raspberry Pi with Telegram," 2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA), TBD, Malaysia, pp. 1–6, DOI: 10.1109/ISIEA49364.2020.9188111.
dc.relation.referencesO. Elharrouss, N. Al-Maadeed, S. Al-Maadeed, (2019). "Video Summarization based on Motion Detection for Surveillance Systems," 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, pp. 366–371, DOI: 10.1109/IWCMC.2019.8766541.
dc.relation.referencesL. Koraqi, F. Idrizi, (2019). "Detection, identification and tracking of objects during the motion," 2019 3rd Interna- tional Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, pp. 1–6, DOI: 10.1109/ISMSIT.2019.8932833.
dc.relation.referencesA. C. Cormoş, R. Andrei Gheorghiu, V. A. Stan, I. Spirea Dănăilă, (2020). "Use of TensorFlow and OpenCV to de- tect vehicles," 2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania, pp. 1–4, DOI: 10.1109/ECAI50035.2020.9223173.
dc.relation.referencesS. Babu, B. S. Pragathi, U. Chinthala, S. Maheshwaram, (2020). "Subject Tracking with Camera Movement Using Single Board Computer," 2020 IEEE-HYDCON, Hy- derabad, India, pp. 1–6, DOI: 10.1109/HYDCON48903. 2020.9242811.
dc.relation.referencesM. A. Hoque, T. Islam, T. Ahmed, A. Amin, (2020). "Autonomous Face Detection System from Real-time Video Streaming for Ensuring the Intelligence Security System," 2020 6th International Conference on Ad- vanced Computing and Communication Systems (ICACCS), Coimbatore, India, pp. 261–265, DOI: 10.1109/ICACCS48705.2020.9074260.
dc.relation.referencesB. Tsiunyk, O. Muliarevych, (2022). "Autonomous Face Detection System from Real-time Video Streaming for Ensuring the Intelligence Security System," Advances in Cyber-Physical Systems, vol. 7, no. 2, pp. 156–162. DOI: https://doi.org/10.23939/acps2022.02.156
dc.relation.referencesenM. Gong, Y. Shu, (2020). "Real-Time Detection and Motion Recognition of Human Moving Objects Based on Deep Learning and Multi-Scale Feature Fusion in Video," in IEEE Access, vol. 8, pp. 25811–25822, DOI: 10.1109/ACCESS.2020.2971283
dc.relation.referencesenC. Zhaoyang, G. Haolin, W. Kun, (2020). "A motion based object detection method," 2020 2nd International Conference on Information Technology and Computer Application (ITCA), Guangzhou, China, pp. 280–283, DOI: 10.1109/ITCA52113.2020.00067.
dc.relation.referencesenS. Parveen, J. Shah, (2021). "A Motion Detection System in Python and Opencv," 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, pp. 1378– 1382, DOI: 10.1109/ICICV50876.2021.9388404.
dc.relation.referencesenX. Wang, L. Zhang, (2021). "Light Weight Passive Hu- man Motion Detection with WiFi," 2021 6th Interna- tional Conference on Intelligent Computing and Signal Processing (ICSP), Xi'an, China, pp. 1310–1315, DOI: 10.1109/ICSP51882.2021.9408952.
dc.relation.referencesenI. M. Hazri, M. Sahrim, W. Z. Wan Ismail, I. Ismail, S.A. Rahman, F. S. Hussin, (2020). "Automated Motion Detection Security System Notifier using Raspberry Pi with Telegram," 2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA), TBD, Malaysia, pp. 1–6, DOI: 10.1109/ISIEA49364.2020.9188111.
dc.relation.referencesenO. Elharrouss, N. Al-Maadeed, S. Al-Maadeed, (2019). "Video Summarization based on Motion Detection for Surveillance Systems," 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, pp. 366–371, DOI: 10.1109/IWCMC.2019.8766541.
dc.relation.referencesenL. Koraqi, F. Idrizi, (2019). "Detection, identification and tracking of objects during the motion," 2019 3rd Interna- tional Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Turkey, pp. 1–6, DOI: 10.1109/ISMSIT.2019.8932833.
dc.relation.referencesenA. C. Cormoş, R. Andrei Gheorghiu, V. A. Stan, I. Spirea Dănăilă, (2020). "Use of TensorFlow and OpenCV to de- tect vehicles," 2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania, pp. 1–4, DOI: 10.1109/ECAI50035.2020.9223173.
dc.relation.referencesenS. Babu, B. S. Pragathi, U. Chinthala, S. Maheshwaram, (2020). "Subject Tracking with Camera Movement Using Single Board Computer," 2020 IEEE-HYDCON, Hy- derabad, India, pp. 1–6, DOI: 10.1109/HYDCON48903. 2020.9242811.
dc.relation.referencesenM. A. Hoque, T. Islam, T. Ahmed, A. Amin, (2020). "Autonomous Face Detection System from Real-time Video Streaming for Ensuring the Intelligence Security System," 2020 6th International Conference on Ad- vanced Computing and Communication Systems (ICACCS), Coimbatore, India, pp. 261–265, DOI: 10.1109/ICACCS48705.2020.9074260.
dc.relation.referencesenB. Tsiunyk, O. Muliarevych, (2022). "Autonomous Face Detection System from Real-time Video Streaming for Ensuring the Intelligence Security System," Advances in Cyber-Physical Systems, vol. 7, no. 2, pp. 156–162. DOI: https://doi.org/10.23939/acps2022.02.156
dc.relation.urihttps://doi.org/10.23939/acps2022.02.156
dc.rights.holder© Національний університет “Львівська політехніка”, 2023
dc.rights.holder© Lys R., Opotyak Y., 2023
dc.subjectopen CV
dc.subjectcomputer vision
dc.subjectmonitoring
dc.subjectmotion detection
dc.subjectobjects recognizing
dc.titleDevelopment of a Video Surveillance System for Motion Detection and Object Recognition
dc.typeArticle

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