article · 2022
Logical Data Model for Intelligent Video Surveillance Systems
Nataly Zhukova, Alexey Subbotin
Cited by 7Abstract and details only
Abstract
The article presents a logical data model for intelligent video surveillance systems. New opportunities for creating data models focused on the widespread use of machine learning methods are considered. New methods for constructing logical models and their application in intelligent video surveillance systems are proposed. A smartphone application has been developed. The effectiveness of using the proposed logical models for data processing in fog and cloud environments has been proved. Specific examples are given.
Cite this paper
Zhukova, N., & Subbotin, A. (2022). Logical Data Model for Intelligent Video Surveillance Systems. https://doi.org/10.1109/scm55405.2022.9794866
Zhukova, Nataly, and Alexey Subbotin. “Logical Data Model for Intelligent Video Surveillance Systems.” 2022, pp. 122–25, https://doi.org/10.1109/scm55405.2022.9794866.
Zhukova, Nataly, and Alexey Subbotin. 2022. “Logical Data Model for Intelligent Video Surveillance Systems.” https://doi.org/10.1109/scm55405.2022.9794866.
Zhukova, N. and Subbotin, A. (2022) ‘Logical Data Model for Intelligent Video Surveillance Systems’. Available at: https://doi.org/10.1109/scm55405.2022.9794866.
@article{zhukova2022logical,
title = {{Logical Data Model for Intelligent Video Surveillance Systems}},
author = {Zhukova, Nataly and Subbotin, Alexey},
pages = {122--125},
year = {2022},
doi = {10.1109/scm55405.2022.9794866}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.