№2, 2021
AN APPROACH FOR IDENTIFYING SOCIAL RELATIONSHIPS BASED ON VIDEOIMAGES ANALYSIS
Identification and analysis of social relations in society are important issues for the effective management of e-government, to ensure socio-economic development and stability in the country. The analysis of social relations allows to more clearly see the processes taking place in society and existing social problems. The study of some existing methods and approaches for identifying people and objects, for identifying events and social relations as a result of intelligent video analysis is the basis of the object of research. Determining social relationships and predicting anomalous events by observing the behavior of citizens in public places is a very complex process. The article examines some existing approaches for analyzing objects and an event using videoimages obtained using video surveillance systems, proposes a new approach for identifying social relations based on intelligent video analysis, and also develops a general architectural scheme of an intelligent video surveillance system. A step-by-step solution is proposed for analyzing videoimages obtained using video surveillance cameras. The research results can be used to better manage e-government, protect the safety of citizens, and in many other areas (pp.3-15).
Keywords: video surveillance system, videoimages, big data, social relations, video analytics, deep learning.
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