video surveillance

The article is dedicated to the investigation of face identification methods and aims to determine the most suitable one for a security system based on facial recognition from surveillance cameras. The time costs of these methods and their robustness against geometric scale distortions and rotations in various planes have been analyzed. Custom datasets have been generated for experimentation purposes.

This paper is devoted to the study of the most common background selection algorithms in video
sequences, methods of comparative analysis and quantitative characteristics for the selection of optimal
background selection algorithms. As a result of the conducted research the general indicator of efficiency
of work of algorithm of allocation of a background on the video sequences received from stationary
cameras of video surveillance in video surveillance systems is offered. A study of methods for detecting