Software System for Motion Detection and Tracking

Simple item page
dc.citation.epage162
dc.citation.issue2
dc.citation.spage156
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorTsiunyk, B.
dc.contributor.authorMuliarevych, O.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2024-03-19T10:17:53Z
dc.date.available2024-03-19T10:17:53Z
dc.date.created2022-02-28
dc.date.issued2022-02-28
dc.description.abstractThe goal of the work is to develop a software system for motion detection of and tracking object. It consists of the user interface which is presented as a desktop application. This paper describes the process of developing a desktop software system stage using the latest technologies which will be relevant and easy to maintain in future development and upgrade. The technologies used in the development process, the systems and modules which were integrated into the project, the main approaches to software development, as well as an explanation of why this particular stack of technologies was preferred for the implementation of this software system have been described. To make sure that the developed desktop application meets common optimization requirements it has been tested for resource usage.
dc.format.extent156-162
dc.format.pages7
dc.identifier.citationTsiunyk B. Software System for Motion Detection and Tracking / B. Tsiunyk, O. Muliarevych // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2022. — Vol 7. — No 2. — P. 156–162.
dc.identifier.citationenTsiunyk B. Software System for Motion Detection and Tracking / B. Tsiunyk, O. Muliarevych // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2022. — Vol 7. — No 2. — P. 156–162.
dc.identifier.doidoi.org/10.23939/acps2022.02.156
dc.identifier.issn2524-0382
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61489
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 2 (7), 2022
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dc.relation.references[2] Xin Zhang; Shuo Xu et al. (2020). “Research on Image Processing Technology of Computer Vision Algorithm”, International Conference on Computer Vision, Image and Deep Learning (CVIDL), pp. 20–25. DOI: 10.1109/CVIDL51233.2020.00030.
dc.relation.references[3] Ubiratan Ramos, Maurício Edgar Stivanello, Marcelo Ricardo Stemmer (2020). “Adaptable Architecture for the Development of Computer Vision Systems in FPGA”, IEEE Latin America Transactions, 8–14. DOI: 10.1109/TLA.2020.9400438.
dc.relation.references[4] Cheng Jiang; JiaQi Sun. et al. (2022). “Exploring a Computer Vision and Artificial Intelligence-based Approach to Sit-and-reach Distance Measurement”, 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA), 478–489. DOI: 10.1109/CVIDLICCEA56201.2022.9825271.
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dc.relation.references[7] Kshitij Meena; Manish Kumar et al. (2020). “Controlling Mouse Motions Using Eye Tracking Using Computer Vision”, International Conference on Intelligent Computing and Control Systems (ICICCS), 10–16. DOI: 10.1109/ICICCS48265.2020.9121137.
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dc.relation.references[11] Kundys, Serhii, Havano, Bohdan, Morozov, Mykola (2022). “Software System for Monitoring the Situation in the Settlement”, Advances in Cyber-Physical Systems, 7(1), 38–45. DOI: 10.23939/acps2022.01.038.
dc.relation.referencesen[1] Shubham Kumar; Jonathan Mi. et al. (2021). "Human-Inspired Camera: A Novel Camera System for Computer Vision", International SoC Design Conference (ISOCC), 1–20. DOI: 10.1109/ISOCC53507.2021.9613914.
dc.relation.referencesen[2] Xin Zhang; Shuo Xu et al. (2020). "Research on Image Processing Technology of Computer Vision Algorithm", International Conference on Computer Vision, Image and Deep Learning (CVIDL), pp. 20–25. DOI: 10.1109/CVIDL51233.2020.00030.
dc.relation.referencesen[3] Ubiratan Ramos, Maurício Edgar Stivanello, Marcelo Ricardo Stemmer (2020). "Adaptable Architecture for the Development of Computer Vision Systems in FPGA", IEEE Latin America Transactions, 8–14. DOI: 10.1109/TLA.2020.9400438.
dc.relation.referencesen[4] Cheng Jiang; JiaQi Sun. et al. (2022). "Exploring a Computer Vision and Artificial Intelligence-based Approach to Sit-and-reach Distance Measurement", 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA), 478–489. DOI: 10.1109/CVIDLICCEA56201.2022.9825271.
dc.relation.referencesen[5] Honeye Rahmani, S. Mahmoud Taheri et al. (2020). "From Brain Decoding To Brain-Driven Computer Vision", International Conference on Machine Vision and Image Processing (MVIP), 320–321. DOI: 10.1109/CVIDLICCEA56201.2022.9825271.
dc.relation.referencesen[6] Emre DANDIL (2019). "Computer Vision Based Distance Measurement System using Stereo Camera View", International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 1–5. DOI: 10.1109/ISMSIT.2019.8932817.
dc.relation.referencesen[7] Kshitij Meena; Manish Kumar et al. (2020). "Controlling Mouse Motions Using Eye Tracking Using Computer Vision", International Conference on Intelligent Computing and Control Systems (ICICCS), 10–16. DOI: 10.1109/ICICCS48265.2020.9121137.
dc.relation.referencesen[8] A Byte of Python (2022) [Electronic resource]. Access mode: https://homepages.uc.edu/~becktl/byte_of_python.pdf. (Accessed: September 29, 2022).
dc.relation.referencesen[9] Junshu Zhang; Jindong Zhang et al. (2020). "A perspective transformation method based on computer vision", International Conference on Artificial Intelligence and Computer Applications (ICAICA), 15–16. DOI: 10.1109/ICAICA50127.2020.9182641.
dc.relation.referencesen[10] Learning OpenCV (2022) [Electronic resource]. Access mode: https://www.bogotobogo.com/cplusplus/files/OReilly%20Learning%20OpenCV.pdf. (Accessed: September 29, 2022).
dc.relation.referencesen[11] Kundys, Serhii, Havano, Bohdan, Morozov, Mykola (2022). "Software System for Monitoring the Situation in the Settlement", Advances in Cyber-Physical Systems, 7(1), 38–45. DOI: 10.23939/acps2022.01.038.
dc.relation.urihttps://homepages.uc.edu/~becktl/byte_of_python.pdf
dc.relation.urihttps://www.bogotobogo.com/cplusplus/files/OReilly%20Learning%20OpenCV.pdf
dc.rights.holder© Національний університет “Львівська політехніка”, 2022
dc.rights.holder© Tsiunyk B., Muliarevych O., 2022
dc.subjectdesktop architecture
dc.subjectdevelopment
dc.subjectOpen CV
dc.subjectPython
dc.titleSoftware System for Motion Detection and Tracking
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2022. – Vol. 7, No. 2