ОБНАРУЖЕНИЕ ПОЖАРА В ВИДЕО НА ОСНОВЕ ЦВЕТОВОЙ ИНФОРМАЦИИ: АНАЛИЗ МЕТОДОВ И СРАВНИТЕЛЬНЫЙ АНАЛИЗ

Аннотация

This paper explores methods for fire detection based on color modeling in video images. Four main color models are considered: HSV, YCbCr, CIELAB, and HSI. Each model is described in detail, along with examples of research using these models for fire detection. A comparative analysis of the methods is conducted based on accuracy, robustness, and computational complexity. The discussion includes an analysis of the results, comparison with other studies, as well 148 International scientific journal “Interpretation and researches” Volume 2 issue 2 (24) | ISSN: 2181-4163 | Impact Factor: 8.2 as limitations and potential applications of the methods. The study concludes with insights into the effectiveness of color modeling in fire detection and its potential for widespread use in fire safety and monitoring systems. Keywords: fire detection, video images, color modeling, HSV, YC C, CIElab, b r HSI, results analysis, comparative analysis, limitations, method applications.