The System of Facial Recognition in the Infrared Range

• Published in: Komunikácie : vedecké listy Žilinskej univerzity = Communications : scientific letters of the University of Žilina Vol. 22; no. 1; pp. 95 - 101
• Main Authors: Loktev, Daniil, Loktev, Alexey A, Salnikova, Alexandra V
• Format: Journal Article
• Language: English
• Published: University of Žilina 2020; Žilinská univerzita v Žilině
• Subjects: background image; background subtraction; cascade classifier; ICT Information and Communications Technologies; Methodology and research technology; object contour; object image; thermal imager; cascade classifier; object contour; background image; object image; thermal imager; background subtraction
• ISSN: 1335-4205; 2585-7878
• DOI: 10.26552/com.C.2020.1.95-101

In this paper, a new approach is introduced upgrading the complex object recognizing monitoring system up to the image processing system capable of operating both in the visible and the infrared wavelength ranges. For this purpose, both new algorithmic software and user interface are provided that require from the operator neither special knowledge, nor specific competencies in the fields of object detection, tracking and recognition, while allowing determining the thermal imager parameters necessary for constructing a high-quality image of an object. There are formulated the conditions required for obtaining such image that, by its quality, would make the satisfactory detection of the desired object possible. By means of the conducted tests, it is demonstrated that the application of the proposed mathematical and algorithmic support of the complex monitoring and control system provides the solution for the problem of the highly accurate individual recognition.