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ANALYSIS OF COMPUTER VISION METHODS AND TOOLS FOR IDENTIFYING GENERAL HUMAN BEHAVIOUR PATTERNS

Kurylev А. А.  (postgraduate student, Volgograd State Technical University )

This article provides an analysis of contemporary methods and algorithms in computer vision and neural networks, focusing on the identification of human actions and non-verbal behavior, as well as other facets of human behavior derived from video data. A thorough review of literature from prestigious journals over the past five years has been conducted, highlighting key trends and research gaps. The methods and procedures employed for data analysis are detailed comprehensively. Additionally, the empirical foundation is outlined, specifying the criteria for selection and exclusion. The validity and reliability of the results are upheld through the application of statistical methods. The conclusions drawn possess significant theoretical and practical value for advancing the field and facilitating applications across various domains.

Keywords:computer vision, neural networks, human behavior, monitoring, validity.
 

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Citation link:
Kurylev А. А. ANALYSIS OF COMPUTER VISION METHODS AND TOOLS FOR IDENTIFYING GENERAL HUMAN BEHAVIOUR PATTERNS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№12/2. -С. 53-57 DOI 10.37882/2223-2966.2024.12-2.12
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