Classifying social-psychological personal parameters through artificial intelligence and machine vision for the purpose of protection of persons in real time
Abstract
Methodology for the classification of the social and psychological parameters of persons in crowded places with the poor protection. This information will be extracted from a video data typical for a common surveillance infrastructure (such as a railway station or shopping center system) using methods of psychological analysis, machine vision and deep neural networks.