Using Algorithms for the Study of Intelligent Interfaces for Solving Pattern Recognition Tasks

Abstract

Today, there are many algorithms for tracking pattern recognition on a digital image. These are the cascading classifiers of Viola and Jones, the generalized Hough transform, the Kapoor-Wynn method, and others. However, algorithms for tracking and pattern recognition with high reliability and stability indicators require significant time-consuming execution of the algorithm and the recognition of new patterns. In this article, two algorithms will be investigated using the intelligent interface as an example: an image recognition algorithm that recognizes a physical object in the camera's vision and an operator's hand gesture tracking algorithm.