Principles of suspicious activity detection and programs for analyzing suspicious activity using video surveillance cameras
Batyrkhan Kuzenbayev, B.T. Zhussupova, A. Zh. Sarina, D. Zh. Alippayeva, G. A. Babulova, A. K. Karagozhina · Bulletin of the National Engineering Academy of the Republic of Kazakhstan · 2024
This article delves into the principles of detecting suspicious activity, meticulously examining both logical and psychological facets of human behavior. It places a primary focus on diverse programs for analyzing suspicious activity using video surveillance cameras. A comprehensive overview is provided for key categories of suspicious activity, encompassing crowd clustering, rapid movement, intrusion into secure areas, and unattended items. Within the research framework, the advantages and drawbacks of leading programs for suspicious activity analysis through video surveillance are scrutinized. Furthermore, the article introduces the concept of an innovative program aimed at competing with existing solutions. This software aspires to amalgamate the strengths of competitors while avoiding their shortcomings. The research goal is to identify the potential for creating a highly effective software product capable of successfully competing and meeting the requirements of modern surveillance systems.